{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Multimedia Security Experiment 1\n"
     ]
    }
   ],
   "source": [
    "print(\"Multimedia Security Experiment 1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import cv2 as cv\n",
    "#from mpl_toolkits.mplot3d.axes3d import Axes3D\n",
    "\n",
    "%matplotlib inline\n",
    "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文\n",
    "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n",
    "#%config InlineBackend.figure_format = \"svg\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var = (100 * 0.02) / 4.0\n",
    "var"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[-1,  0,  0],\n",
       "        [ 1, -1,  0],\n",
       "        [ 0,  0,  2]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mat = np.mat(\"-1, 0, 0; 1, -1, 0; 0, 0, 2\")\n",
    "mat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[5, 6, 8]])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matS = np.mat(\"5, 6, 8\")\n",
    "matS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[5, 8, 8]])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matS[0, 1] = 8\n",
    "matS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[1, 2]])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matB = np.mat([1, 2])\n",
    "matB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[1, 5, 8, 8, 2]])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matC = np.hstack((matB[0,0:1], matS, matB[0, 1:2]))\n",
    "matC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[ 3.12, -3.12]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matD = np.mat([3.12, -3.12])\n",
    "matD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[ 3., -3.]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matE = np.trunc(matD)\n",
    "matE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[ 3., -4.]])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matE = np.floor(matD)\n",
    "matE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[ 4., -3.]])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matE = np.ceil(matD)\n",
    "matE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.8992171071590809"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matF = np.random.randn()\n",
    "matF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[0.78570679, 0.97531351, 0.16899737],\n",
       "        [0.14164961, 0.91347015, 0.16399217],\n",
       "        [0.63892431, 0.09387599, 0.72519942]])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matF = np.mat(np.random.rand(3, 3))\n",
    "matF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[0.98455739, 0.42508395, 0.17771365, 0.73646902],\n",
       "        [0.0562426 , 0.39324327, 0.87999222, 0.91339946],\n",
       "        [0.86648729, 0.33544587, 0.61495338, 0.17293513]])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matF = np.mat(np.random.rand(3, 4))\n",
    "matF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "matF = np.mat(np.sqrt(0.1) * np.random.randn(3, 4) + 0.6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.40867258 1.01233502 0.60446519 0.60591875]\n",
      " [0.03164373 0.62831867 0.70364261 0.55423327]\n",
      " [0.20071717 0.7182577  0.37473386 0.51162209]]\n",
      "均值 0.529546721114999\n",
      "方差 0.059645972882792254\n"
     ]
    }
   ],
   "source": [
    "print(matF)\n",
    "print(\"均值\", matF.mean())\n",
    "print(\"方差\", matF.var())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[0.01421073, 0.59150391, 0.283922  ],\n",
       "        [0.04300962, 0.39430991, 0.38229011]])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matF = np.mat(np.random.rand(2, 3))\n",
    "matF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[ 1,  2,  3],\n",
       "        [ 4, 15, 60],\n",
       "        [ 7,  8,  9]])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matF = np.mat(\"1, 2, 3; 4, 15, 60; 7, 8, 9\")\n",
    "matF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[1., 1., 1., 1., 1.],\n",
       "        [1., 1., 1., 1., 1.],\n",
       "        [1., 1., 1., 1., 1.],\n",
       "        [1., 1., 1., 1., 1.],\n",
       "        [1., 1., 1., 1., 1.]])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matF = np.mat(np.ones((5, 5)))\n",
    "matF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.6 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[0., 0., 0., 0., 0.],\n",
       "        [0., 0., 0., 0., 0.]])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matF = np.mat(np.zeros((2, 5)))\n",
    "matF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[8, 1, 6],\n",
       "        [3, 5, 7],\n",
       "        [4, 9, 2]])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def magic(n):\n",
    "    row, col = 0, n // 2\n",
    "    magic = []\n",
    "    for i in range(n):\n",
    "        magic.append([0] * n)\n",
    "    magic[row][col] = 1\n",
    "    for i in range(2, n * n + 1):\n",
    "        r, l = (row - 1 + n) % n, (col + 1) % n\n",
    "        if (magic[r][l] == 0):\n",
    "            row, col = r, l\n",
    "        else:\n",
    "            row = (row + 1) % n\n",
    "        magic[row][col] = i\n",
    "    magicMat = np.mat(magic)\n",
    "    return magicMat\n",
    "\n",
    "matF = magic(3)\n",
    "matF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0. , 0.2, 0.4, 0.6, 0.8, 1. ])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matF = np.linspace(0, 1, 6)\n",
    "matF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4, 5])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arrA = np.arange(1, 6)\n",
    "arrA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 3,  5,  7,  9, 11])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arrB = np.arange(3, 12, 2)\n",
    "arrB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1,  4,  9, 16, 25])"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.power(arrA, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 3, 10, 21, 36, 55])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arrA * arrB"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.10 ~ 1.14"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1 & 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1 | 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1 ^ 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bitSetOne(x, y): # x的第y位置一\n",
    "    x |= (1 << (y - 1))\n",
    "    return x\n",
    "def bitSetZero(x, y):\n",
    "    x &= ~(1 << (y - 1))\n",
    "    return x\n",
    "def getBit(x, y):\n",
    "    return x & (1 << (y - 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bitSetOne(1, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "getBit(1, 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f279f0bf510>]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(-5, 5, 0.1)\n",
    "y = np.sin(x * x)\n",
    "plt.title(\"曲线y=sin(x^2)\", fontproperties=zhfont)\n",
    "plt.xlabel(\"input value\")\n",
    "plt.ylabel(\"function value\")\n",
    "plt.plot(x, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f279e07aa10>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(-2, 2, 0.1)\n",
    "plt.plot(x, np.cos(2 * x), label=\"cos(2x)\")\n",
    "plt.plot(x, x * x, label=\"x^2\")\n",
    "plt.plot(x, x, label=\"x\")\n",
    "plt.legend(loc=\"upper center\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.17 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 5 artists>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "b1 = np.arange(1, 6)\n",
    "plt.title(\"直方图\", fontproperties=zhfont)\n",
    "plt.bar(b1, b1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.18 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1., 0., 0., 0., 0., 1., 0., 0., 0., 1.]),\n",
       " array([5. , 5.2, 5.4, 5.6, 5.8, 6. , 6.2, 6.4, 6.6, 6.8, 7. ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "b1 = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
    "b2 = [5, 6, 7]\n",
    "plt.hist(b2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]),\n",
       " array([0. , 0.9, 1.8, 2.7, 3.6, 4.5, 5.4, 6.3, 7.2, 8.1, 9. ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(b1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 例1.19-1.20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f329b3291d0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+a5XlcOzkHrjKxtrTdIvaqooDaofANeeNAwmddPTeM8/zdv/WfLzWyul04nQ6AfRNrLRmRpqzlQYfMv/r8t5zd3e37Y2m5pzjg7JqSolSrExI52LUmTag1kZTQcUcWqplQyFrKrQe0xrVSykWxXO2vbAsFD3X/FfeYuVg1nU/z2iB+xd31EOiLbk7+EYqhTB4Lh9f8s4X38RfzhyO14irpHxP40TWGRWhaGA+LRtCW5ZlY+JbTgzDtAUHFYfzhjiDF3yE+X7hd79zzT/843d5mYTjaSGnO3ZDZPD/AnL6/z9rhSjT0DetKsH5zdh9DB2mrmRGJ7V6rg9uQwoiQu0lJCONhLzM1HTEt0b0wulwtHyzO5YQBm5ubqyU1RQtRoaskM8jZlwekEZtZdt0u3Fk6DX5h/lfCAGrJ8GyZJYlMwyDEYPdwakqoZeZqJ35bYq2QloWnOvaAG1AY4iR1MuLJWXGKW5QWXCkUhl2ezP2kglUpFXKMiOtcDnt8DRqznhRWklQKpSK1GblzJyJ0fgI5yxSW529bXB3PdfV0EM4X/tSCj6sghxzjDFGSyVKpraCdya6kjWFwxydw1Ko4Dw1m2Gd2W2lpMXKm53gsvJpw4jLteQWAIf3sTuHRvBDRxrnyoTBaLuXQzDkByDO2U8nXoEtDQO7JqxplYhxUXGgZeHw/I786khNC60ZQnUu0FzE73bsn13xlb/4BYhCrYG8BIK7wskOFwQJGeetvOkw4nO91sDmtObZtCxCIw4mDEop8Px55Q8/OHC6esqp80yuCvPxRE3nCtCfXp8avK/diLb8rgtyjHG3/4UhIsH3nMxgo0fQ0qjZFDSWL1V8DJieqqDlBCXhtRF6Tr86a3WW/21RdZxww0hFKAriApU1wgNo1xFYvbSkjNbGsmSmaWKYdn0jrksJvRZc+p8/RDW5QlWHuhH1ETq09GHYSD+w/P54mIlhRJu9d5kzNKUs2SLvMBKHkdpAiMwng/05V3KqHI9Hck00LdSa8N3752roSLo+gto2SJ4XIyrN2ZgReAmoysYdlFIppbLMaSNPzeEpKmY0omfjHXygZIuuihFouVWaVkTVKhtOGJxniJEhRtBKFBDNKGdk0Br2UwOoR5sYlK+gVREcxu+57dhq7dWe7qhMHdhoWrpjGzan8ad/tijfGs7yPNR5Bj/CfeOjb/6I8vKEy61D94ZKwE17/OMLvvQvf4Ev/YXPkfVAlYIX41GO9zOOC3bT/gHyVUQbu3EieEcUpRyPjAKDE5w0nMLhrvK7v/c+/+Nv/BE/uq6kg1CLAV6pDd8qo+dj16cT6TGV3OpNtZMpTRwuGowcdwMSXDe+XsZphVITWtsWtVcSB99f1wq7cSJ627A52SYLIWypw8qsq6rBOX9W5bUuqW1dXumc77A90B5EjhACORvD6oLf/nyNEsHHHytFnsthtZeBjH1WnJWDxMpywzBthN2427HkTNWes24Q3DaiqnI8zoRh7OWqQMN1iGv16NqgqVKKGXauFRciOddO1ln+2FpjnmfqA8Y6pWTOJhukrx0+r6Ilu5fn6GTR0K4zveyZW2XJZzQkeEpPYXww50gXYqV52QzzYbVhjAOecypRU8aLs1SsqKkyi/EnKylnx2WIcP0cEQdq6GRl5Idh2AjO1pqx9L3KYNfBW+1/LaGKVU5UlTFMpEPi1XsvqKeELw1qQrWSayXuB3ZvDrz55Qvik0aWE3M6kdOJKcCyvNpSxBURxhhZlpNd77RwsRvM+bWC94HcIn/w7ed8408+4joHE0Ad7hkc7Pd7RB2Dd4z+463+04n0W75+zpfxK3vZsAqLGolHZzbFWR131dI33UosVo6rP55faqOujuRBmQrO8C0OAxI8OWfGOKDFiilOBMXUYdrOslowRnljyB/kfDmXHlnsdSsZt+byYE7BB4dWK+EF76llrQ5gJaheyy7NmO04TMY4x7jxHCEEtFYTdShIE4LzxMGjmHKrtYoLwVKjatt/WZLV5TsnQWvEONCqoabgI7WVbnh+I7ScBCO/nBlDWkqP/APgKLluefp6viKGwpz4rlXvqr9gv0tP59oakWvFe6Fm2/zTuLfrJc7Sr54CDt7KqsvxsCnboJf364MUQpWS7Ty0V3eAzeDXnD632h382UGLGAtfajpXPMTSiugD0ZsENpVGWRq3H9yhp/eh/QDnPgRuabJQUC6ePuWtr3yJL//cX6T5x+T0BNE3yCkYz9ElyyZTtr3kgvESwzCYwrA7rDk1vvPeS37nT17yvFywtJEhKKXeAzM5zYQePNb9+metT8foe8ml1l6u2tRGXZjiBAlGzInTbTMJGKm09WyY+mrNz5qWLQrahlJj6OPwY8b3kNAzKAqUiquKb2yE1p8us62RPKVEg42Iao1NpLKRk/31m4PQ2vO3THAmQfZYju/EHNj6/qomIMFZpFSxGnStFiFXVaDv8tpa0lYjd9qhcBBoSp4r3gdaM+EPtW0ciaqSSulRvJ3FUtLJNtc1880iqfNWyVjP0eB225DUwwgtWFQ1Lbs3xFHtvueOLEo/VhEheo/vefXpdNqc5oqS1nua8gycexpMap23shlYKWzVTKyBwPZVryyIGhR+wLU81HisTuOsUDyX0sCMJowDVZuVEE+Vuw8z7TTi8g7KhOgeZUDCxOVnL3jnZ97k0Ts7ij9RONGw8qwTv+3DOA5ID37OQaUyxKnvH+FHH13zR99+jw9vlXkwNeQ0TQyPHuHdhBZlGitQN6Xln7U+yYab/+9LIEwjqWRGH3qDi6JO0eCxOn5FUq9/1mz11FS2koaTiPeO1ipkoDpcC7S2gLeb6hBqy2iI1FwZBiszqTMn4r2HbuBZBY2O3NnxMU69pKJdsWWabD90BVstNKCJIwTTAAjK4ITgTcVVW9dui8OLp6WKqkOCI7XU1WB2f2o3omVJFISULH9TNZWiDIHQz7ksiVozbuzKLlGaVJzzNDVIatENcII4UxeqU6oa2nGizL2Rp3UhSBg8dcmMYbD31kaVDsu9Na6YWsycWKsNoXf2rQoyr12ynHv50CLZbhhIpUCtRHH4qgzFVEm5tH5fK9pgN+6Zl4VhGLpzbrjWCAjSPDmb46JCq4LzghXahJIrRa38WZvdP+fVeo86d7QUyDUwxAkpJpYy47egYqo5Sw+cC5vjz8XQnDTr/huGwchm53jxrZdMcc/oIwxqDTY6UZ3idoFnX9rzi3/tc/zmj36PdG+owl142mkmBE+cvKEcb6VEF0dEMuKUV4eFb33/jm986wUvD4IOgmeGXSCrY/QBKPjBsZSMd4bMPm59OkaP0rQSY6D2zivEodgFFG24npXlnBGtJsXtkc17hxOP9Nq7iKnFVtKl5Nalk4m8KGleePbkEaUUpuhRbUzT1Ms0ZuRrvr4y7qVlpFrNHayE5tboghlCXhZyUxqJEJ01pXTRTq0VnMc7DwK1VFrv8HLOIXou6a2yYYssSnQBCb4r5TzRW7fdmgqpU5w4RCHnxOACUp21o0qwXF4bLgRUK6kmc1jeOhPBro1JbNVK0MNAAdxuR2qKqxn1XfTjhCGaZLZVGKJDizmQOMSOjLqKskupg0ScMwQBkKviBUI859C4M+u//duZ8T3MtWs18jQ7YRz2uAf41KC3oFk7ggHnu2rQPdDN1/xjZOAK5WPwpDSjahyEawUnvZXaWa7tTcFje0DA+VVxaEKnZVkgF16+/5y3n+3hMvZOx4oQIArj1RXP3mlcvu15/u0TsSquCIJD1bEsFkTC0J1JK0yDJy2NH7574Pf+2bu8WgIMO0qeLSA6IUZLT0WUEK1EivN4f0Y+f3p9auz9usld6K2M3iGBXievdpOXBXozTdBzL7dzboP9K4G03lDB04pSc9lEJVbu8Jv0cpqsdXElTDb49iAHtxKO680scTvu9fuWZSGOO3Y7ayysRU0ymlNXAPZWWxFKU8T7XmGgw1LjC1a56to2G0LAB9nUeqpKynPXDXhUWu8N8JsUNmtDvTe5R+cEQggGl6UwOogO8nykLgv0iNWGgVkLRYwHoCwwz1AyGhypZaozWNvU0gXBBCalFFzvDluvS2sPyk21bF1jLphSb+s0bOdaeG4WRUsv167QujU7T6DLnrukWq1TsWkBrTgeOIzehyHNJMS4YPzIGqGlqym7fNvRWJYDJos+p3IPlZUrgWf7rqelJeHE+vipjegcvgrHF7cs1/f4aoRyk4wCTUCGAXc18MWffwt/Bc0LMeyoVUm5smSlaS/5Vesc1SZc3y78zh+/z6tlYJaBglq5z3U0IYJz5z6OXBuas93nj1mfErw3KFZLoSn4IeD7QbMsaK2mWuqKvVqN4Ki9GUVcF3yEgLZCrRa57+6vERGGYWIYQE6pe71O5tFzRCqt1S5lNbg+jZZLDqN1l9VS6CmclRYBic4irLcGi2VZzIkMAzkv3Vmcc//QN/vpdGAYTG3lneBjwKtt6LU82Gom52LMMVjrcW9DRay3IDsj6MwoBO+DOc1+Tj54Bm/MfKtKa5WgA0WVuVSGqytOAnNO5NSIOSE0Li8vmY8norcW11YqHhuwEbynzCfEm8OMveZetRIkUqVr6ZvJYF2YyHlBXCCG2PN2E1kt8x3j0J1krSY6WTILhSFOnJaFYZiYe0myrqx/D+3R277JJW0qt5qzOQfvUa1WCQJcNFgenPXG11qhKlUwFOQ6UvR+a6rKqVAzDIPVzGtN1tfRA07JxkW4XqH0zvgXbYpvDj02Pvjjd/nSm48Y3vA0H0HUyouuMjzZ85V/6Sscbit/9Bs/JC8FcWJOuwjjFMh5YdqN3Nwe+eHzE3/4rY949wAaRpoUaIXBjeyvLHA9evKI0zJzPB57A08g10r758TzT8foVyKuGRTz3oZcOIexmdU08U47qYJDnGe3G0xLn8ygci8lxRBYjkfGcWROM7kWlpyo0Jn5HcuyMK6DLrpAp7VGqZVhGDgeDuz3e1OcubUjTAgh9ijlmKI5IK+QU7Z20ugoXf9t5Na5hVNVmQ9HxsETvO/anY5QYCOpLGVwRu4sC/v9ntYZ2FWMM98fCeLxYt9XUYZxMOe4JCR4SlVudTatgTiII0UGmhd0DJTLHV/72Z/lm9/7Dj/zU1/ju9/+DoMTQz03tyzHhTbPxFJ5asp3lrvZ2O6aDOoOEam6lePW1MwGYlgvgg8DtTPj0oSmZlxDnDpS8kDtPQqeoEruJataK9qsZXRtO66spJsx6t4Hi86lIGFcNVGA6w1JIGVV9q0Tc1YjkG0POG95u03egTGatkJUKXnZlKKtFpPtbmViSwdVrVch50zTRnCR+f5EvT7RdiMNj9uNiJjUXGTAX17wua99hve+9ZLlRzNhDDjvuJx25HTkybOnLLXxvQ/u+f1vv+DlQYkXF5RW0VJMhqve9BqlcHd3hwsmXjreH3Ahsht2HI/HjzW/Tymnt9IsYMMmnDOpZMldN25Ch6bGWlaUOA74Xt/23pNKIQYTVGgztjotFm3HccSFhLqCC6YBH8e4CUsudjtUK6VZR1vthp/nxYZLCF0bYEIO26RiG0IsDw+995tmuywEt0WAsJKRNXNxuSMvyZwYbJB1hZybVkGVUqzzTFXJJW8NLNos/VlJzCmO5KYsSyYME8VDDY6lKdOTK14djrzzpa9yWBZEPCEGWoQv//RP8YPnH/Dmz/wUH6aFRz/1RZ49e8rNzQ1feHLF8dWBelp4/oMf8sEP3oXDwm6IqHhKzTiBmiuhR+/VSF2PtNak0uz3rQSWrcKQMjGcofLaIWczVBr0ejr1rEFYqyg4T6sN7erLYU11nIl/KpYulM7prF2CJtbSPk7KFJ2t1o00LaVXjfC0nPHR0MKyrN2QDdVzp+ZaT0fPTWIpZUqzvZhywbnIi3ef8/bVznQmY7XUSxUVT7i44I0vvsnPfP3AH11/H+c9DqHUxG4/cVxmXt5m/sk33uPExNLEeipQtAq4SnWe6JRxioQpktK5a3A+HDkybzqKP2t9KkavnOemhRBQMYJkSQtkaxTRUq1224USMphiKcZoIpS5bLPBVu179IEWGqVYo0ftgptpHHqftzJEx+l0slxT7PTXcqB4x+C7vrx3Mlm0tZqqjVrCRmZ5T0llk3oAACAASURBVJoXmoALRvTFEE2qqr03Ow5bTVzknO+COSljia2tOOfKOO6s/psSu93OkEyM1Jbx3qG5GnzLlVNVdp/5DHWYSG9FfBy53E00cexL5YNSkIsLxkvPkzee8PLVS17lWy6uRiQ2LqeJeTlSSahL3B1uEA/x0vOlr/8s7Zf/VcY5c3z/Bc+/9y633/kumk483T9GamVJ2YZMOMvLxzgYrO4lL9eFJuV0shkIzVqlLZ/XH0NDRpgZeYtzkIqJiHr1IefC0KcH7UYT1NQuEbbypN+caO2oQlOjio2swnEW9nSScEVZJZ1ba1XVILI3EjLnbI1M4gz6q1rE5wGPoBYckhaL5grHD++53j/nkXvTGreoqA5oUMJuYnhyxZf+0mf5/u9/wN1Hicvdnoth4HQ68IOPbvnD717z4j7SgiIR8ulAdNHk00OgusTcJyod7w+sXZghBNucubAcPz6n/3QUeSvMDVBlgZYswhdFU0NToyUl4FgOM4LielStOZHnBS8gWswbkxmiKdmsaUaRnBmcNd+cTifS0qehiNtGNona6CwbvmglnqVkg+IdTkbv8apoy0TPWdNdKrs+8CA4j1e74dEHBu9wakSkqoktTE0PXtmithNl7z3OK/sxMPmR/bCzqkU6gWZanXFdlNRcYGmeOeyJb32e+fFbnB494YgiY+TFixcc7+6tbFgLUheuHk3sp9Hm3RVlmvamTPSCH/ekAuNwxc3LO47HGYZA88r84n2O7oR89Rnv/PVf5Od/9W/y5V/+K9zuPDcpod5zmjMtGzmWTkdKXkhpsTIYWP8CNutw6VzGGulXI2wIy7JY3m/WZDPwvKf1GXYeGznVSqKWBaSgzio2ZsCNdcikd9gUpqYMfjBRjvg+j85yfC2m5XWdT7HSqFCSdTLSlDRnXBXaUjE6F6i1aywKTrZWC7w4Bhyhi3pkEe5/+Ir2fIZ8QEqfVegFdRF3dcn+zTf46i98jqtLxflKqQsfXi9845t3fHAfyaKEMaI4xmGHiNp8SBH2YTACsza8mpzaKSa/Rgi7gJ/+HCryJPiNHUet6cWJUPKC5sJ8d2I+FbpsepuW44I3WN2Xd+fosrLfa3MNgIi3phTnQDzignUsrZr/DvVsSNODiTv1/B30XnFgqxq0UpjnmSFYyWpV/MkD9LEy1qom73QIuVcmVC1K3N/f07KynI4c0yvujjdWE04VaR4WoRwbS/Ysfk+6fER7/Aj/5IpUFtLpnikGbq5fUErhcLpnWU4MY2A+HWip8vKjlwYhS+Hm+oXVs08L0xCZD0fm04FxHAkhcLw/4IcIU0CzEquyvHrJ7skTnv7cV/j63/4Vyuc/w6tcUPHkXIhiEuVSGjsGnPGwVBXCMNIqSPPUeu6sM8Nf1ZFhu19rNWB1CsM4UrWZHLm3x65l01WWPMXIypW0aj0Sa6QW8aRUyCn1dmCoxZyC9jJcqakPoLTKQulkaapGJK6dhetAj1ZN7ad9wIpq2yYZpXnBIRxubnn/ez+g3pvwpjao6rF+oQi7iXd+9nO88aXPEkLg5rDwjW+/4OVtRX1g2E0A7MYJxJrJLi5322SdkrIFs5yZl6U7TmU3TXjxRBk+1vw+vX56MWjvRCBbZ5imQj1m0pyoqbIcM95FnLdxVuLPDRC1nodWwFlAAjDFwfLJ3LZ2zzVHTCn1XNG4giCOUizn9n14w1q2Kc0aONKSN5HGCklFrI13WZZOdNnAidZn6bVmE29ba738mFhbb9eoFsQRxqELCh1aM6U17ptjiZfcuwvy/jHu6Vtw+YyjG9DdjunpY+7TTJwiSCPUxhuPnnC5n3jy+IrWCjcvX/DmkyfU00Ka7RhfXd8gTbl/dcsueO5vXpHTzKOLS6ITHl0aCri/uWY/7Li9e0FQ5eLJm9ymFyRJ6ONLfvZv/Ou88yv/GvPTC+bWONzPLEVwfiArFBEIniw9q1ZYO56qrj0KSulKvwZbLv9jw1XoY6qcM07HW49FA3a7HdqKSY61bNN/PGcV33ovHDZYoyYLLNa0VY036hH/x0uPZ6VgCKH37pdtv20zANs6Bt30BUa6eksR1HP//BXutuBzwlclVk9QZ0KhYWJ6a8+Xv/5FSkl8570bfvCyUMIFqRXuDyfL0Zcjgz+XLFOaKaUwhsjUidGKMuymrYW8dZ3Kx61PJacXJ0x7G1Aw352op0w+FiiVu+uZlCpOIxdPIvvLK5gUN5xzwBgDIs3qpTHaGKt2JoCQZtJMEXK1eWuDOC4v9ohUpArHlBmC7xNwI+rMKQRx3B8OfRRWYM6FwTsOpyNDMKVbyguKGazSSCl3J2ETcFIybYH3yhiGB62aQm0FkpJUod/I6Aaa3+E/+4zlsPCln/oL3NzeU2vl1YvntJysCrC/YL69JWsjDJF0PEAptAjX9895653Pcnt3RxwiV5cX3N9c8/kvfpn3b14QouPtN57x4uVLpuCZX90TYuRwf4de7UEaS1l6OdTIsMvpiqUmLgc4qSNrZdAFH+HxV9/inZ/7Krfvv+D//gf/G5fZoQm8ZDxWw1bBtPVVqa1SxKYJIQ4fu4hJhdoqgzNF2hQHDr3PPbhoNflm3XtOIB9nprCjzgkJMMZAaxUfHB7fR6BNNgsvDqRsfAgKMQ6UktDaCVjUSn4hWFUk9ck5YqOt1zSkFEODuSqx1+1FQbD6YCmFOI2bDsA5b2XnHPjg93/I5yaHjd2eIHRFo/fERzs+8zOJ8XLi9755wxIfkQ93jCHw9OoRJZ1s6m1w1FpYy17Wc2+zJIo20384MZFRLugwGFr7mPXpDNFAKcUirlRrGIkE8lzJZeB4arx4dU8ujbu7O1JKm4glhECqZ6+7wnOHjVd2XS8+7Xcd7g8W3Uvh+vYVOWdysRr9MI02kaUWlsWif1HwQ59l1mes4QPahSfDMBiZ4wNLKsQwbghkjTAhBMJg01q2nv9q2oAlp95NNzDPM8U35lR48tZneOfLX2S42PHBh+9xf7zm7vY5noxvhV2M1JooXZxze3uLzJn55o55nrm6uOTu5Q11MX6k5cK0v+Sjjz5iWU5c7PbcvLwmeM/F/orWYD4c2e/3HOcTb7zxlMPhgDjHs6dPme9OPHl6QVsKL2+PXEyBsQjL/RGhcDEMLHVh+Pwz/vKv/S30nSe8qon5eKIdZvS4oItNgS26OgAz8lLMkAzguE1YghPa1oy19vF7pPfiU02KG3G0Uohe0FZs7kGz/n1LYxIeqNUqQWbkQkrWiRdHe4ZArabmK6Vso9dav3Y2+loo2jYexz0gBKHLjrVr/GtXD7KOJHM4Dbz64BWv3r9hvj+SlzsSmRYFDQJxhBZ59/mR4+IobSEOJjIKKK3UPlhVGcdhE6DFODJX27fbcxqqpZD7/d6qUPnPWT/9ajw2KCGTl8JyWji+OnF9m3l+fSTECQme/X7PNE1M0UZcrZNNSkkb9AK2KShr/TvnjDrhcDpap1q/WFVt85XaeHV7zxAnu0FyHvPUtD9A4IFCzDnH8ThbK2sYrPGky2NRRyp5M+7SmuXuakKQNdev60MqcjHdwMXIk8++QZLGhy+v+e3/67fx2ji+eo4e7jndvISy4DDYus7FU20MMbCbRoIITU3+++r6lVUwsvWJX1xdghOePnlCOs1oqSw9//M9BXr69CnDMHD96o633n7bug5L4XI/8uL5PbIXLq9GDveJITr2OjCnTA5iZaFlIT674Jd+7d/i8V/6Gi9KpsaRVAB1lKoUhOLOQyEeNuas906dbPdwTY9S6Tl2KbRWKNgE2NLqg+EePcWT1rmecyOQGYlVXVouROeRVkm1MO13xHEwPUavx6/PCPDuPO0I6G3bvby3zgcM/Xvdg/Syczi5VjSYgEta5Pm3nuPuzBDX5ysECrw68Af/6D3+wf/8WxSJjEM00lE8SzraYFPvWZYFx3lE+ul0wop41vU5xYGLaUdNmcPxyGWM+PTnrMtOBNt8J9OEkxvp2DieCh9cz7w6NpozeLIsJ3JODyLAufNJtZ5ns3sbZdxygf40mVqtvXQbtdQ3k/e9HIP1nGuvvbcK+4srRDw5P9DY58xxSfgQqdW01jab3eDkcZnxLtp01weSYBVrImntPHF3ldaG6Nk9HnjyxhO+9d0fcHPzklCEm/ee29DFJaOpUVrkVGDxxgU82z9CF3uiz/XhjhMNxHM8HpkGK+sspxnvPc8//MiQzbywHI5o7xcf9zubOd8HRh5OJ66urrqz7GPIvMO7ymXbEZLndLjlsGT00hjl1uDUCm6MoAsvl2s+/8s/zy/9h7/G9dsX/EgatxkOp2yIaNz1ee6ydSjW2jaNRK32vbk0fBgYOlxepyan0nA+EqNFPnwfhimmnlvLd+uY8NXo6ZqP0onXnGt30q1PunGd7+kj0EqlpmxjzHqHpA3hFGsy0kqT3r7bm3ToPMI2ZTj4/pgzbEDHIfL93/om/uZIKBWvCV4+55/++j/m7/6n/wOMX6AFKEvGuwkbjKpcXO7w3rPb7TZyOsZx61akj4IT4O7ubhvDnl2jTX/OZuShNo1FmuBSpZ0Kp6Vxc6+8miGp59SbCISC9NHR5Nqn0Vqnfem90M3mCiPam3Uc1FzIuXSFlbVb2pRYtg67EAJumOyZdwo4m9O2RmUlUArEMBqL7DDtswv28Iz7e8ZggwqzwlKhVKGVSk3NFGhYxcD7AD1aq3hqTsTHgR99/32ePvscw+hxmhm84tVkt+M4Epwyek+rCaVwON6iaukJudl4pMM9WhNDFFpdaGnBV+XCRXytHG9uGePAspx4+uSSm+cfMPrG1aORm+uPeHS5J81HKJWn+z3lcCAdjzx+8hlu58QxVd588y1KOpAPt+z20UQxczP5bdgjEiEV/BsjX//Vv8nP/I1/kxvvKRUawosXLzjMC0uDshJSzRx0PTWQSCVQXUTxHO5PPT2zWftm7EKeM8H589OBfG+bRWwopwgxjiaoyo00J3yX4aalQA3UpGjpSr0KQcI2ug36LPytq2edzHue0Eu1KoHg+8ASb/oNerdhb5eexoh4qNGhyXH9rQ+h3MPLDyjfueE//3u/xUd3kdIq087gu7YFL4Wr/RXH45Elz0ifRqQNjscjqcEUIlEM9R6OR4ra8wEcpjn4czcjT1VZTieohTxnDoeFu/uFj17emWx2PM/OW1l3B8bgi+CHgVrYas5Io1Trv861WQlIoGws7nng5CpgcM7hojXfjP3hEKvXb83mtoVg2va1915VGYaxi03oQyTY3puXkz3WqW+YvCTW55illKBVfB8qMTzb8cM/fJ/33nvJfudJ9wXXpwA7hWWe7aEWQMozojCEyBDspkYfjF/wysVu4NHlFcucbUx0h6Y3NzfMh5lhMF7j2bNn3F7fsL+8YD4uBLFzu7s+ME17rq9fWtqxu6A25Xi44+LRBW5Q5tPCs2dvGStcrLtxPwWERmmZYRyJu4kqjmGKfP4Xvswv/O2/xos2c7xLcPRodSyHTJozqSnVO5rzZxTXI3dKy8bZrOho6Q0kLlhVZS27npt0+uPDYu+67JUB1B4fpVURFXJa0FyNayjFWHFZI6c1CNnAELfp7AF7HNkK8Xs6sTWN9X2zBpOHPI5zjqCe/Tix3B3gwxve/+0f8ff+s/+Fu2Nkv7/cUOnQm60eP75iWU72mLdqVYhcTUOSc+by8gIXHcNuT5xG4rTDOZtYNIyB6WLHdHH5sfb3KUV6teetpUI6FWr1vHq1cEqylfLWXMm5sEG3laTTJgx+oKzKPa246Cgtb7XbhwMzhjFsnXH2AIWA7zDpNCf2u0tyqZ0sXAd5OA6Hg9VrS+5DE+z3JWeGac/6AERTbp1n0otYH39rNua4tcY0mGR4OS5UKpfPrmhzIDAyToFHl0+t9no8bpB3nme0FmL0PHl0SToeTI8+nyhpZhwi3guXFyN5seGJt7e3Nj3YKU+ePebi6hFx3LGcZuqcKA2W4wmicP3iOZfTI4bJc//qhs+8/QXUB+5eXbObJtwYOM23OInE3cDd8Y4hGgm4LCdqyzhnEtV5OQKOwe0sP5bGWz/3ed7+a1/nXZ+5Rnm1FG4Ppr8ozTMXQ2ql5W1D55RAlSHGzsw3fH8CUS3W3LNqLGov7/m4PpDy/HAIpOFDlwrnRkmVZbEHeZb+6Kp1So14CEPcFJjmRM4PAPHicH2Q55rne+9BbOx16ANc15n560NGYow4bCBMVMGnxjf/jx/w3/y9f8jv/P4RDbtNXUhreC/9MWwJHxwlLwwx2uPDcKRcycUGeyoW1F6+vKFUax+epoGrxxc8vpgY/7xFekHwyZEPmbu7ygcvZz56tbA0M/DcHx65es/grNGkadmiQuilsJVAAax9dbCxUjnbo5jOrZxsApRSSu8394QO6aeLPeM09Z55iw7DFEl5pvXJPDhvRE7X/teuy7apOQ3RRlpO1GLa8nEIlCUR+uz3VioxON7+6lO+/yffw4eRwQfa6cTxZA0vXgJjHHBqD9coaWYXA8/ff5cheubDvenHc2IIDq+NwUFwQkmJL7zzha4MdBzub02zPc/sh5Gb62t0TsynRGiO0/2JkhceX1zi/EgrM1NwEEaUQASb0e8qUQJSBxKwu7zoEbbayPHS8M0hBZb5wPHmlpcvb7k+VH7h3/5b/Bv/8d/ha//Br7L7Kz/PD13itlZOx4LT0TiSZs05NgK6i3SWtLH8OM+SKnjPnAo+jpbzbzpHBWc9DyFY23WMcm7KSYXj3czpduZ4yCzHiqsemo38Wh3JOlJrt9sxxoHgvT0roViXpT0AM2yPHgN6Lf/8KLZVfOTFbc8FGL0gMXB6Xvhv/7t/yjd+GDg1j2BCsiF6NCc8pY8ot+azsT/M8sWL623s98XFBct8T/PC3Bpxsq7FcTcwDIFhCFwfZ3744uZj7e/T0d43yHNGs2NOwouXR0pz+MFT5vnc2AAbdFJVaK6LOGyGupFsqevX7aYULRtBA2yNNiAs88xwMYIIY7RImvLSWzSHbVrsNg0V7Mk6NHI1bbMRZgPTNBKcZz7eczgcuLjYQQPvI+o83p/Tk1atCaikTNXM0zef8Md/8F1cfx5ZWyrFW9oiIsTBMy8LqRZ2O+sQfPLkCbl1COo8+92O25trHMLNy1um3QW7ceDu/hU46yEwfuKe/cUFLS1chECcJpwP3Ly642tf+wofPr/BTQPjIJyWyjAF3n7jMa9e3eIu9rg2IzVwL8rF1Z50WHiliakTaof7Ez7uEODm/ogLe5688Tn2g0W6KQif+fnPU+XztF/6BX777Wf85n//63yxBcQ301/giONErcetJo6zR3Spc5SGjQtrjThYL0LOjulyoLVMHAZKy7RmE5ecTeqyWXFyVkEuqTLsJhxCWiqjM317cN4eGOJstryNBuudeA+aaywFsGi/TvWp7VymXVNAH6M9ssqvHZqFZa5847vP+ebzQlHH5e6SudoDUkWtGWkIkZoTYRhQdcz5PPhDgjD2ZiznA/OSUaT3DPSOxf2OOSeevzxQPp68/5Ry+tZYDon5VLm5XTjm/4e5N/21NU3Pu37P9E5rrb32dMaaq6urutt2u223HQfbxI5xHEMAyQkYPgQpITFBgBKhIFAi4AOKBELiDwC+5GuQAAGyFPEBiDMQ3JmcuG3TXa7q6hrOtIc1vOMz8eF+1zqnkq4IxZEqr1Q6+6w6Z+2z1zs893Pf1/W78vzEyscPMycFyCgtJWnW6RmmqHTGllaAEtbI+CKp5z7yeU+l8sETLntvgUFm6rqEFLAa6qrkZLUkxnCcs78o61Wzgqt0wnM/PT1nsVgQfWAaxHa6WCwY5oeVNgbmLUkIz8MpFWIGKRYlH7z7AWQpAYduoAsRW5RCointEctUF+WsKFPHCURVNuJ/H4RZb7TYQ1NKFKVYf0mBzdU1i6IR7UKcUFEqps31DdaVFMrx7Nk16/MFKiZGDxdnKwgj17c7bFFRRDk/uipZOEd7u0WXCqeg7+QGzcrx+OqGIUVOz8+4+9IZZqlxVqqNEdgPEzkqQpX5sV/4GR589R2uu54n17d0/cQwBbquI/h07OGEmPAk0JZ+mKiqSlSUsx4ipUiOczzZjBRDidFHZbDazRyGQAwT3gee3dxyc9ux2/bsdyPTEMTHMfdSBDg6k5rmOT3IFlM0IXlezd1MMJZKMcfnGg0zs/4Os36nJY7r/feu+Bu/9YRJn2B0yTAFxv0tpRNAalFY4iSAVpLIfMcQ6Sf5GUprJLuudIxBAlQlBShgnWa1rDg7O8NPCTNFyk9h2T99fG6NvL4LPH6y5f2Pn+GzqOA0Qcra2Tp5nIXCsbkGkLwHNXf0kVltnk0HaZ6J55zJCN89vWBjVUq669vbjaz2XUuYxHRzOGmCfp5LN/Xc/joNI23b0rbtsZQ7jHTqejFLfGU+H7I0uA7wx2mayEaTtGLz8R6nCvb9hAmK8uwUpyusc6i5JzHOjLhDU8g5GQluNhsJt5xn8XVd0+57uq5ju91iZ8GKmVeZqpDqxI8DOSWWdYMOgZP1knHs0WjO75wzjDvaoadpGoxKjH4gm5KmcEz7DoymLB37qz3tdqDdjwxT4vTskrfe+RLn9+9jl0tUtBQ+41RmmDYkvyXFjq7fEMeeWMHP/dE/zM7J/H6z6wkRvE/H3k1MgiZPwr2grmv2XYsyegaX6E/lJmgtQZRHPf0L4pmmKigKRzf0DFPi2U3H42ctV9d7tpuOHDXTOO/hlcAzvX+RrDxXa/P7yfnNRx/9YYt5aKw6546OvapZ0Pc9v/H39vyP/8eHfOdjj0oDAz3Z9CxcSWWdVCYhslg2M6VX/AgRS1HWmBlXBjCMHmWdODijdP1XqwWrk+XsCHU0TeL7fuDBZ95/n4+fPmW6PrLrNTE7SiN7MaHhGKxVx3KpahwyKJGceSn3NTnMVFeliMjTWZBVlnEaMGWBKTzT3lMo+Z7Wzix2P1LXNcMwyChIaZSGat4fgUAzprFHlSUpJlxMlM7IA0RpfBipnFQl1slsuC4sKYim3DkZTRlniT5RlY6mtDx6dE3Oiv2wp6xrkk24FCjqAj+UjF4ustXJAh9GSmfo963so+cH2RQDKUxScUTP6cWKoiylwpkdY8qKucNPokZLKApj0DoTxpbukw0PH9xju90S8ZxfnJJjpB9bqmqBOmm4/eQZd85OGIcdu2dX9K0i6IrV/QvurpcYB4GAZYIQmCFv+BzQUUId/ORxFCit0ViG4HEP13z1D/4k/+B/+yvUo6FTgao0DGH8VF6BmjP2dIoUyqATlLUVc1YpfPqQMgdriZTgCYUm5QTZEkNAaQeuYFSBj59sWLqK7Az1MjKNkcIUEEXaKvFgMz4tC7NQnJzilchE9GxlLcuSMA6y2EwTKItXidLNkt9oePZ0w69/2LOLjqAjcZooFCyKBZOZJM7bWIzRdPsdtiglREQdchMUVkm60JQVPmusDoQwUlYWVxaUdUXImandU1nNa2+9ypffeQX+xve+/T6XlT6lzOZ2z/XtRkIqDyMXDf7AhTs+xed9tjWf8s8fnsAZ4aUboySve95fSUc046wVcKKS2Of9fn9sEB6UVQcvtnvB+jn0/fF7W6uZpkmUUfq5Oksw3vFTzjApNecGpCnmsZ+IOK5vtuKFHweMkU5vUTWMozimUpCbuSgKpjEcgytsKZe1b7e4osLkwMnJKc6JKMdqw9D3jGMvKbTTyND1qBxp6hJbGEpXkMaRZrVkakWMc3N9RbKak4tLNo+vcVmhm4IhdoTrp1wsljz58BGbZzvaQbF48DIP33mHBy/dpSjlQXkU9CQoXYmfREEY/XS0GnfdXlIMxhFFQUqaH/0X/3lOv+9NutzRdZJ918VInDXuEjrJEQl9QGcfbbnpOZr6iO5+wSRziIhi7tMMw0Tfj/TDxPW2pesDwR/gqSNECZ9MM/cgJ44qS4U+kpReNOQcmndaazIKRRKWozIUTkPs+ea7G3792+9zs98yTBPOyEx/Gvqju/P09FS8HtaRlcIUjl27x7p53l/X+CDTh7IsyTFxfnnB3XsPyElRVyvGfsKPA2fnC7741kPOLw4L2D96fC4rvQ+Zp9c9/RRRBRSVQ6cIKeKVPwDI5MNHH2/2lASyIOOaiFHM+KiBOM9NZeYqN7zs7S2q0GAEYVxa80J2m8HHkbqRWF+thP8mWGd1lIA2tYP0fAa7WCwYJ7lQzTwxiNGjMKCyjH6yIkXFFISU+/TZBm1LpgQZg9GWkDTWaGHCjyNVVWGtYddLZtzq5IS27ck50vYd1hScFJbWJ0qVufGRk5Mlw9RTlQVtN6DKSIgS0HnT7lB9pJzL3F3bsn12Td3U+HHELRrSFNk/ueLi9Izdfk+Ra9ZFzZPvfsyjqSXYktfffgu9VNSLEh97+iEfH3AKIKQZKjLIr5NHa2YHnaKsG/q+R1dL0rhjebJiOi/5xT/7R/nG//Sr/Nr/8CuoW2iKkjYM5LKAIOdXkwlZKLrA0ewC4tnAPE+sUbPrMYQASiY1fvIkpamqhsIlikpzvel475MNKQUqdzaHZCSUqnCFQFrGscdZR45J8u6T+XRuoXnOyR/HcWYtBsrSYI0sWt/9uOWv/saOwa4wpUKNkUVZE4aWxbLCWOnO32xuJHUowtj3VFWDUor1osQVhpvbHVNK2BmysqxKRh8JeQRdkqNiVTWs7yz58pcecvfSUZWZzzo+n5U+ZoYBUA6MsMaNEdxVVVVMx9SYGYg5e5XTzPE/hDUcmm2HiuBALj1ooA+lfNZKxoBVeZyfHjPI58oieH/kih3GcEop6ro8nuw0M+H6vsfO76FURs2vH+KQh2GYo5Ll5/Upk400pKy1uKIia4OeZ/pVVXFycoJGLhbnHHoGXG63W6wtKOqKshLVWqkSHzx6xKIwJKUl2NEo1us126FjtVrShZGTkxNhqs8d6boWfbYfJxZ1w/Z6KPeHtwAAIABJREFUQ9M0OAvPnj2iUJZlqvnutx7xydORu194g9e+7zXsGjITwXviGAlepiEq6xl3JSAU6/S8L5YR2+QTIWV67ymqGldqqnKF1qKAS87wpZ/5YZZvPgRj6HKkHUR+TIjEDH4O0jwkupZlOWvr47HfIfx5fazyXlyBXemoqoK6rETO6j3b3nPVj2zGRDdm9p0nHZuIUaY7ZXlsznl/iNsSyPlhMRBaTTGTdxzNYiXNZeD6auKv/u3v4HXJ62+/zfr0nNPTU6ahoygP+/Ne8vzmCiLMbIFpmjhdr8hRfu6YFdrIzzGN43NxGZqTZcNue8PpacWDB6ecnTgKI6m3n3V8Ljd9zJmAQbtC6DPM9FhXysmFo69d+PdzY089Z8XnrAQjnbN0+rNh9sRhjJOn77ExBHqOKM5KidimMLRtOzP2nmfQ7XY7nDNHQ8/BPXe44LTW1I1cEFOUQMJ07CgDWePKEj87AdGG7WbH6INEbBnxFBzov33fH/sXWut5ny7/lmGYODk5PY6ITk/W+BQxTcW9u3fJSlHOzU6b5cG2Wi4JZKqqYvAjVVXTjyN92zG2HdWiodvt6bqO+3fvsbm5IYXIxdklTx8/4zd/81tse8+bP/4jLNY1TeUkBVcZ2k1HnuRzqMtKzkkGlcSP0PetSEcn+ezKpp4bgxZtnQhitLjHbNJo6zi7f84v/Nv/Ok9jz9U4MGnBgk9jOAqODg/yw9gsJuEHHh/y6ONWK6cDVCXgYzg60ZwR9SA504VAdBXPWs9miHSTdMmjf56CKxVFQs8E3oPsF/jUr0e8dp5TfsuCnB2/+e4V7340sB9G3v32t+m7jt3NLaWThxJaRoWH+G5JWhJqj1YZq+Dk5JRx8LiiomkaYpgorZFxXVaCDnPw4N4plxcLLs4XlMWMo7Ofzcj73Pb0upgNFVEACCEhxBDrJKFjVqUpLcEYpFl5dzC0OIt2dn76Qpqz1kDKLWW0rNz6uRwyzQYTnwSUqcyMvsxyAsLkOTlZcmCuH6oJkJPSdd0MVHye135whR3+rPcRbWqqRUNRF+y7Hm1q4BCGaKiq6vjzHfPKEEjIbrfDaMd2uxUqTFUJLSVlnu07TAE3bUvMgaEd5HOZARTOWEKMR6hDVVW8//77VLZgt9tRNDU2Zk4uzmisY3P9CfcePGDy8Mn7j7h6dMvpyw945atv0ZxavE0EFKWu8buBxbIhFwlnZ7VilH0myAPK+0hTVSyqiroqqazFKCitoW/3hL2nb29odze0273AK0LmztuvcPL9b+KXBfvsaUm0YRQr8n4/79nTPII7EIRllHUk6M6r/OHB8Pz38nenYU+cJmkYW0sbM/sIIwXTBNMYn6vxonTzj25AlVEqz2W8OY4VX+TkJZ0wOuLQvPfRnl//1mPa5OhnT3wePI0rZQpTuqPqc7lcYoyZPz+PyhKtZoBn1zcMYxCx2Dii5rxGawuIss1ZNYaXH55w507N6brEWk2YIn74XbrslFL3lFK/On/tlFL/q1Lqryml/vhnvfaPPbTCz7pnM1tlrbUzEksfoYre+0+hqIiJdFDYYchZMflISDKrDj4SYqRaNGhrZ9+0QqtZ658kEFMpxbbd0zQNdV1/qjE4TZOw02OaNdzpGGhxKPn1LJbQWfLynBOKicgvC2KQZNPNbk8MEiN8cromEZ+HFM77z4xksaWUxCM/VxLWWtbr1VFbIKaSgC0XUprvO84v1txe37KsarHVWsvU9aiUGXYtUz9y5/IePmUuLy/xbU82mn63I5WZxd0VH37zd/jNv/4bKLXg6z//+1m/dJfmbEUeI8NuS0oTVJr6pKHdbbEhcH3zlHa3ZRiGGR+luLy4R2Vr+rZlv71le33F9dVT2s2Odr+TKCuTqaJCKUm8GTc9KXsikT/xX/xH/PJ//ef52i/+HNfbDdEH2qEnaE2YI6Vl21UIq+CFZtpzuMpzcIQ8nAWRNad8SkBF9FQLAYhmW/HN3/kuT3c9m23H7rZlaCdyEFGOtfaoBrVGwlXD5GcDkKTZpiDXrC0dhVbsrlt+5Ve/ybvXExNQVRW+Heeo6YzS+dh49N7T9+ORA1iXJYU1nK6XpBCYfCRpR+kKoecoRVFafFYYLISRV1865e6divN1ibVB/o3asp9+F+W9UuoM+IvAYn7pPwD+Vs75J4A/opRafcZr/5j31Cyaihw9PgraRxgKQhqN837ee2mOpZgxpjg+vZNUaeQEZVnN4YfATMudvGTG6aQplaJSRsIpRbBMad2RaXbYT7myICuR96aQqcuGOIMRhkEaayQYhlEAECGQgkKXbsYtzaooFSCNnK4K/KBIY4Lg6bd7cXKpyDj1GCMXIoh6rGpqrDaUhUUjzcOUAoMfqFYLss4iAtq3LKoFq9WKEALLkyVPr55yfnnB5AOLxVKgESGRppmKGhPtZgspyfjwZIlWFn8VeLQZeOWHv8rDr73Nzt+iVWS4vcEHmdlPoxCKc5TPZt+NOO1wtsDZQsZW0bPb3pAJuLLClQ1Vs6JuVriyxDpJZrG2kP2oUqjkySYRvJB6dNyyeljzI3/kZ3n9R7+GbRq6wTOM6Sh3NhniFOmnJI1ea+T6mSu4AxZNJUW2ltOzOySfMUiCzsGwpaaAnjy3T5+w3Q48u5242SX2fSL0nrGfGYtZWAVpRnypQ0WWNehEjoHC1BRFhVMaP2nef9Ty3uOOYGqGSUhMxsyI60UxS5c1VjtQ4rlP2RE8aJ1Ynzb47Nn1Ce0KtMqYnFg2KzIGbSvqoqYqLffurbl7XnHaWBwRImhniGPHcvHZ3fv/Pyt9BH4J2M6//2ngL81f/xXg65/x2mcf86qqrcU5g5v3yscIIQV6VsC9eJiiPGbWqRf29yk+jyQCjimqRVUe6TVHf73Wz9Vz84USYzyq4Jhjrw/ZZ1op3MG+OZf0apZmYo3YaGfsslKKkYhdWW77rTykigqfxI5LSljrjjl6Vs/z12liv9+L/j1qpjHIDecHzs5XZDxVLTf8crlkP+6o65KcoZ9GLi4uub6+pWmWbPedNINCoO9HdE6gM/XJmv04se9vefzxDdsngQ/f+5CvfP3LXHzhIcllnC2Z9nvOT0+lsRUy2Su6/S1D2xEngVBaLXCTzWYDyGpmZnNMURRHl+ShF2KMWGEPSUUqPZetkjLJR7a3I7nLFGXmD/yxX8DeWeEnaHc9fopEpRnnUr3S+oVS96CWey6mSQqcVrT7/bH5WlhJgrVWtpAAIWYmn7m6uaX3kV3bEwyMSPWBzXg82WaCkRU+qUBSHS5qmnJJmPMVfOi5HQJ/+zc+ArOEmCgri7GwXNQURjONkrgbvQiLrC0YBnGHVnUhqkOlBaelEpWzErCSA9uuJ6tCAjtV4MGDJa+/dkHdyHUdQsKagt2uwxSaevG7wGXlnLc5580LLy2Aj+avr4F7n/Hapw6l1C8rpb6hlPrGLkxihiAKrsoPhDAx+Y6oJQY45QyzDfWwdwpRxnYKPUf4aKZhnP//3PJTihgTk/f4kEja4DNMMcxdc3UMqRwGOQkZsLMlUxJxZzVfjqgUPzUPPvyXQiaojM1C8xl9YAiR1UsXXLx2wc31hnHb0nUTnU9CvQ0v7AGDJPAaJZy3sqiZfCahwNh5P1+QZ/dZtVhSLSpcoVguF/Rjj7YFJku81uX5BU8fP+Hk5IRdP1BUNdo4bFmw37aEcYCk6AbHZGvq18554yd/D1VjsH6PVfJZ1WcnPHr6MSon+lYQTyqLRNTlzDCM7Pd7QvTcuXNHylfvKYqKermg7Vu0nYM4nSUET5ghpuPQwwu5cQqBSwoEo2I3BUY/UL+y4N/6L/8M7gsPGLYjQ+cZxsAQPDFN6BxIk/SC/DiIGnPu9WhrZl6cBExaI2rNg/utKCyKIO64smDSjts+81vvfcR3H92yue7xbWTYecYhobLD5oJikly85EENUlkMIaJVhTYFz249f/n/fpe/97En6grrZHqgk8flRFMKE5Is/YaiKBn8hLNzGo2JKGvYbAeuty2YwDT25BRQhSg5Ry+pu1/+4n2+/0uXPLxXYvAS0Y7m9naLKwqWZwts808Xgb0HDrXDcn6P7/Xap46c83+bc/56zvnrJ4XsWY0Wu6mz5XHEYk3BOHy6SSJ7KHccrx1vvHkbIN3QmaA6N/a0tozBw8xaK5w0z/wUj97sQ/e1mPsHh95CDGJVlKSUw/vpo/xSawnKtPNEQHhvGa8973ztHaauJY1ikAAE6uAkr2/oJ4kiRnj5i1o4912/xxWKvt9hjJI+wuwnuHt+l26zo1ku0IUglNb1gscfP2Z9ecoUPU3lxHKZM6fnK/puJIbA1ZMbqqrh2VXLFC1m1fDVn/gS5WnNFAOT9timYNhvMTEy9R31asHQ9ayqBm1Kcgzsu5br3Q6nhdbijGXyIyiZFLRtC1nTNAtub28/5T23+rnl9PjgDDLxGGdhTFIBCo1WJaUuGZznD/3JP8y4Ej4hPhOCzP7jHGeWc5ZE2flBcriGZOUPxJl2CxzHu4KekkpDXJcFg0/shsTNzvPRR8+YhkjovbD2kyebgFcjZci4LE1e5RRZyzSiQPOd7/S8+3FLrzRTHo9NW2cNKkemoZuDVxoSma7vj9Vqs5AM+n4cCCkeq6Vl3czaAxFvlZXj/HzJKy+dsig1pyvpR8WQ6bo9rlbUqwJbGnz8p8vI+1vAT85f/yDw/me89pnHp3TNSR0xPy92RVOCAyf9U6m0SlHMpXkIgbKuwFgU5si/O3wPybvzx5mrjEXysTdQVRVuXlVJSjLYYkZbR0iZECVjbZhjgw7fX80a7+AjxlVSjqEpLkrM2pG7wNCGIxbZGMVi1YjIpDysjI5pGucs90hdViyagkVT4cyhIy3R0I8ePaKqZ295Clw/veLJ7YZ7D+/w5LtPKIqC2+tbSucYho7Hj58Sw8TY9ZyerPnoyTVXUyKtF3zha2+wG1rKxlEsC1y1Yvv0KYuiRo09MUv5ebpcs9leUShD1w0sFjUnqzNMaY5N1sP0IivFarViu5Ud4AEZ9fxcJvHJgyDFQ5w15mKVHvxEMqBJaG9RqqIqHffefsBXfuHH2Awt4+hRWOHtpSycwwPDjudqPPnNc93G83Fq/tQ5zCkQJ88wjUStidrxyU3LTQp8dHPD7a5jezsxRcs+lWxyza227FUgFFnQYclT5J6bmx2/+nc/4OlO2u7KRnZdi5ndnqYQMEfXDox+IqNwVUmIkcl383jYEfzzWK6DyaooKnEyGoM1iddevuDuec3Zekm374VDGALlwrFaL+Z4bINKn13e/5Mo8v4i8CtKqZ8CvgL8TaS0/4df+8xDoWRl0EqsqDPMMIeANeZINZUTKDfA6CesKcg5AWreH8uqbK1BFU72StkfP7iUAloLtjrrg6EjUFg7d2El5lfmsbI3POSnkyRhxFiFIUunfp6rF8YSgjxAeiCGxJg9P/pDXyX4Dc8eX6Hdkp0X+o3Kiv12dxRyqLm8N1qTUuTi4oJ23zP2A03TMA4jRVUCAWcrymoxexIsnzy5ZrlcEseJdtty56ULtrs9q6pit9tLIoorcLqk8y1Pnl4xFAu+9CPvcPe1c253t9y5f8E0dSwvTonXe/Jo2F1fY1YLaiNhobvdhq6bsOXI+fk5U0wk7Rn6TF0bYor4rpPm4jSRXYGZ8+wXC3EBlq4gwbEqS/M2rKgribHW4psvSskLsMoQcyBUBSrD8rzgZ/+Nn+fv/i//FydANwSyXaELe/QXoJ8HfcaQUMYy59Yet2UoQ0hCVCqbmrLTjH0LSCryFANjzHilePJsIAfwOLZ3Kl778vdT3b/DsmlImyu++3f+NgtjuP/Sa9x+59sUUfGtD2/4aFDoskYx4aqFUIwVLGqBraAMfT+QURR1w26/x5YFJoihaBzkIe+cpiotxMQYIsM4kCPoHHnt5Qtee+WMps74aSD4RNt3lI2jrt1Rjk6Wrenv+qbPOf/0/Ot3lFI/h6zs/1mWQej3eu2z34uMm1e8Q8kOM5IoBYxVxyc1SApq8AlbIdLP2fkWXxBtJIWU2bNcFuZ9Xoj4lHCV8NOssdJ4Q6PVIdjCMQWPnlf9GDP1YkGIE045QEILvY8URhN0mrcbkZQVKhqiC9z7gTf44G/9GpM3jEmzOj9le7thWS1YlBXGFuz7jmVd0RSO6+trTCFxVM3yBDWJiSglid6eosc6xegH/LZjtT7ntK6Zeo+rKjbba5ZDTY6Jacz4PnLbblmfXXC7u2W/95y/+TpvfuGUs5fOCCQu7p5xe30j6KwPPoTlOe5sTY6B/uaaOAkfsFqdcHG5JmHpfY8xDt8jEcnThALqSuS1du6RaGtEVBO8NCKHkZjTcStnPoW4lq6214p+GFmWK6bgMXUkDKBWC5KJnN875Us/8TXe/T//Aa4q6UcPJzXOlnPpbo6Vo55x2SlH0gTKSFyZdomqashqh58OGC0h7jCP+oZpxAf4+zeeN+894Pf+0r/Gqz/8EuVZwdjuoZ+4NZe8/a/8EkWzBDNRful1/vJ//z/zq7/6HoM54WThaG8GqsbRLAsalxmHUaqMlKibBu3EfGStpbSOpDLDMBCTuPRymlBKiE5TyvgID+/f59VX7vKVL9/nwb0GlVqij0xToGxKlutSTGpOjEY5+KOQ7Xsd/0TinJzzxznnv/Rig+97vfbZhzqWftELOy4l8ZJjRDxzMLKklAjeS7gjoLUjK4mmOiSKxhDIfhJrrpZgAK0EG/2ipDaHSD/LGn1MDL1nnCL9MBKVYtcP+Ay6cAxjh0pCwgnzg6CsqjmOSx4OSSvy6MlJY+5WZL8hP5vwQ0anxH7borIjhdlAhGJZV1hj2N7uWK/PmKaAthLBjTK0w8j69Jy271kuVlRljVUWW9SCcS4swQ+02xvWqxMygVVp+Oijjxg9rM8u2ez37KfMF3/oq7z5g6+QS80QJxbnS8Y4YRU8/eAjUgJLZFnW1LahbTWuOmF1esnJShBb2ghYVKNYNRXTfphtpgrfdxA80XtpoMmFgFaW25utNBKdo6gKyroQIU+U7r1sazLG1RL3pCIYAVbG5MntHj1GeqX5qZ//aUYtJb3yWWKqSMd+j1XiNSd5MgFrZp/NgbegElMYjxOblBLKFQQcfs6Zm1QmLmvufP9D/vh/+qd48/e8hasnxqvHPH7/u9xsIsX6FF1PRLtH6YR6cMbb/+of5Ls+4gm03kNRonIgDC3DNFHVDVipbrpxYLff03cdi6YhTR5jCoytUErkvkoJeLMdJ9pBxpyvPFzzxTfPuTy1mOzxPhExRJ1oVg7tMraSgI5DD+OIDfsex+dDzpnpIikEIhxPRuagiHruZ/beUy4KUvCYSkrv9KkmXz7u4ay1JJeBgRAlzuqQQW8UTFlR1dJMWtQ1gQFr9KzaSzhrZuFMxqdEzFkahFmSa/3cEYY5g00phjGCG3j7B75Me3ODHz3OFoQwUNW1qAZzxlonjrhSJMPKyHus12tcXdEPE8pYqtIRvKcuC6ahZ32+xifP06tbThYNYy8Th/XZWiyeMfLhJx9TuRXD2HO12ZKLih/9mR+jSzvG2HJ+94zt7Q1ufca4G1HaodeOsfcslOX26RO6sePhKw+ZJgFpbnYb6tWSnBTOFozTRHaREBPrsqLtJkIOFFVJDAmjRkyybPs9RVnSNI1sp4gMXU9RFNTV/LCMCasLUS9aR126TwFMcshMKWCLEucK1l98ldUrF4xXPfu2I99tmKaBarWeA0cUEY45d9o4lFEzYvtAMErE5BnGjjFnQpIeQ5siGstkDcvLmj/9F/4Mr90/QfUtTz55Sh8UJ/dexRYVzXJBaSNqZhVs255X33kTd1oR2sPYkOceeyfnPCMzd9FWpCOuurQOYy2TF1OVs9KE9GluXltN6TQPH15yui6pS0fwg0yOwkRVFRKCoeOR6yD3xT/+pv/cuPfMJpumKqgKi9Wi4T7ITg/7aqOVzMyRfHcBFObZYXfQQSfBZiENvENnV2vIOc1ACwmeGCaPKwwhjBSFsO1IkcoZbIq4nNDBYzmEJRjqopTxnVI4bXBGstW893htiIvMOz/5fbRPrjltLsQyO6Ovpmk6TgXavsNZ8eo7J1FacTZvFIW8X7MoIHjpBaTI+x98xHiQaCrFxdkpJycn4D2bq2u2NxtW1Tn9GBiD4Qvf9xV++Pd9P2kVWdy/ZHV5wnS9xW/2vPfuexAyKVoUJVoVXD19ho6R07pgu70lExhjwNUNOSui90z9MK8gGu2g7TwxTFS6IO49/X5DtxtJKrBer1iUBYVWECecUsfIqhhGqpnMG7zk1jMHngSf8FOkaweCh+hhaD0ETfngjF/68/8O+WJBCpm+b1FxAmXQpeDJ1CyzPqr14CjBjlECLI+26zSx8wMbHxhdSTpb8Cf+8z/Ff/Xf/TleusxcPXqfv/6Nb1CfP+Cl199ksVhQ1Q6FyI7H0eNj4OzOJc1Fw5/8T34Z7TLjfI4OISl924kQCU2/b7m9vZV/+8HBmRNXtxumGChKy7KRAVjKCmcrFqXhnbce8Pqray7PSsiDeAoC8udXFcxgzuQ9KiVEiK4w6rPX888JjCnNC4VQcgRCKHtsoyQj3LyQYS7sc0iIaMY58T2LMEMeBAfb6wFXfQRi6jmcIqdjw6coiuPo7yDusFq+t0SuC8VWzbDLYyKuAlfY49bkZHWKNob1S6egB5ZFxeNPHjMME1qL170sS3wY6fpedNa2AK0Ygz96+rfb7SzEWbDfthSF4dnjK9o+UNuC3/ngE4wRrrtPnrHb0LcD2inGXc/2tmU/Jr7yY1/hzpsn9LqjaRbkcSRsRPxTqAI1eYIxAsZ4dk1dGs4WDcZEulFWzNG7GSUt3d/ClhitCdMoDU+JiMSqguunz5iGnrpY0DQl1jhyDAQ/MQ49KkujTrY2EENm17ZYK6rJpARzlpMEVhTWHVNZhVM/0rcDRmUeful1/rk/8gugDfhMjjD66eiyO8hwc864wsj+NiWKws6AS0vXjzy5uaVNijEYgi545YsP+Y//mz/L13/mSywXkce/8R7f/PVv884P/Qj2ZEFwAZ0m1DDi+zmExAfS5ElDoCg1X3j7lfl6ek7uqet69liE45aiMBaD4mQhVdBmszn6L8I00fc9SltGH6krx8N757zzxVdZNZacB/w0SEVQFizXS7nu54yHFKPkB+ZMmMehn3V8TlHVinHojtDBEA+ddM0wdEeEsEADwSiFUVL6lWWJTx5rZe9/0MeL+eI5ROOAwl4ulyyWNWrOpjsYZg6zUDM3QGKMR501KVO5QtBTs0jn8FAZhgFt7Qy20KAyb37fqzC1TH0gBc84yFy1rutjyWqtNGq2+xatDX0v1tft7pb7dy8prMA0T8+XbLuJarmiKmq2u5HXHj7kfH2K0ol+t2ecAsomNs822KpmGAM/8hNfxZ0ZJhs4O78k+4Dfd7TXO2yyhMJQnZ6h9x0fv/8+5bLAachNwYBGpUjo4OykofWRwmr2u479fitUIFcx7EZMHJnanpubG2xTsTw/FRFKTqRxnBN6e0iBPKsalVLSdDUG65y4Hp0lxVk96TTWaZmUKHHIqTRnyXlPmuQ8v/2TX+ORb8nGEbQmpwmdE8GPGKtmQ9YcDJET5Mh+v2caZTRnygqvDGM2UFUs7jb8h3/h3+WLb9Y4f8v1h5/QpYYf/KEfZ1mWwCSY9ilIkzFGCLC9umXsB0Lbk6KnOSkkqsrK6JiYaNv2Uxp74CjnHgapnOpqIRzEyXO2XqOMpR/l71RW8cYb97g4KymcYODE3JUpaplCOSNegkOC7kE6fLj+P+v4XPb0Wgl7LuVEUbqje0lrzfpkRQgTMUwU5cwMmzRFURNygPicdXc0W8TpeHGJNl8AF0VpabtBxn85s2gacdP5KJqdmFBzOIRTPCebOi3fvxC/fAyBsiwwSkQmyhjGfmS336NN4LWvvUUcnjGFzGpZENmDduSs0EZTljVtu8FHxb6bGPoNdy4umabAenWCypnCGq6eXLFcrOnGyK7rOD1fs7aJpi7ZdFvS1rNcLVDDxO62ox0D5dLxgz/9NSY7UtkSZwv8MBKGHcN2lDzA+xdwvWN/e8v5a69I3yJmdt0GMwwYZ2nuPMQYxZPHz7i8OOP2umN9uqLddVSuot1uKA3snkwsLy8xhUNZByhMIbCTod+zWCwwM9Bzt9myPF3Lg3bmHqgXRDopBUI/0fY9tioxs+1YGRFppSQIrm4vghW3LPjBf/Nf5qO/8Q3KqFjlRIoTWkWpFqwAPIwtCGGEHHE60Q09t/ue958ObH3i/tv3+Plf/Dl+4ud+iKYc2Hz0Id/57Q84e+UNXv6BN1E6EqcO1yNs/gh9O5AaR4iaulrMdB5DVhFdJfJM80FL3FlROFKWhUgmPwIxjSEQokAvrSsJQ0+hoG87+qQYY6Syjq+8/TJffuseq7VlHLbS9NS1pOOWEa0gz/2lg+szJ4hErH4e6f69js8JgS1Ns2mSJ3PphByrlYIUZ/+8aNDrRowwMUaMFoWbPjTcrNhhi9ISYiDOBFCBUIjU1xlLTJ66qo7KrbqusRriNKANqJSOYA4xkEyzqMfO+/o5sebQbJrn/1VVkXQHFRhd0m87PvnkMU25YoyybxvDgPdiqnn66BH3Hz6gnMMjvR9ZLhfs93uKouR0fcF211KWNWjFbrPl4YNzxrFjUS3IhSdPka6fuNl2nF3c4c4rl7hVhrCgxDJ2O/a7DlvULM5XJGe4+uBjfPbce+01pihMuCEOhJSxVUFVLzDGcLvZcLoq6fZbmnLBbtuyaCo211dMu5Y2KRanSxIRYiLHudtsNRQZXTjBgdfycF0sFgL4rGpxhw0j/W7LxekFV8+eYaylqEtSihJQmjNZK7lxy1l0UtQzdGWgKkp+9Od/hvfXa7q/8w20GklxlOpvGqXcBXISbbtJMrIdfWAdMB+gAAAgAElEQVQYErddz70vvsYf+3N/godv3kGFjk++/QG77cAbP/R1iqoGOmKUEe0UM9lPjFOgKGpGP+CqtdiNjSFJjNJxK+mMkWyGJOitRV2zu7lhnITJOM1hKz4E1ienMr4MnhgTxlo2tzuUdazritdfucNiIelIIQgk1DiNsvNWVCuyn/UkWnITJQb8OXr9s47PpbzXWkOK1JUl+wGVI4UFZzI2RtQ0YZWeV4QkibLOorOBbJiGmUkX/Fz2M6fMKrSTm9wpgR+kaaS0FrLkohUWpn5PDCOaRJEzlZWTVVZzLNCckkvM1EWFnVc0aSTKuEqniJoCxd0FMHG72xCvdxT6lKK0DP1efO5avP/jEHn55Zdp6pJF7chpBB3Y7G6oqopx9Dx+/FRirHXGpYm7Z0vi6CFJ4KdOMpH48OMrXHPKm1/7IsV5webqlrNVTX/zjJtPnmCSoaiXrM8umG56dGE5u7jD5vYKpzJTvyeNntX6BFuJBny32bKoaqZJUNn9ZkNdFbQ3G6qoqFXBvZcfohrpxYzDXmbKJMI0EoeE046irPFRLtSclQRVjD1hnCBEbD/yzb/5a1Sq4OTkHO1KXFGis1RUzDr6EERbH/1I7EfZniUYQuDB7/0qL/+hf4FttwMV8aMASELyWGabbVnQjQNTDAxB0RZrfvRf+gP8e3/h3+fl1xzDs+/w4bd/h9s2cv/1N1meLLANElU9imMteAheY5WIwiprsMpiXIFKEYwmDRP4jCsKMIIhN0bhp4m+HRgmT1PVkOXGNrbAGDeHuAh0s1lW3Oz2pGxwyvHmK/c4v9Q4Owef5kLGfguDKwNOgc56Tq7VRwS8ytIPizlwzOP6Hsfns9IfuqzRY8uKOPnZCVfiCbLfC54UJkpbz93ODFHEMcy0GunbyyGij+dPuANG60DcOSCOVGWP8kylZk+0kofGAdMVozjn8oxC1k5UXvbA54uRrBxKZe68dA8SnBQLriJMPnLTDSStGKaR1aKha3dcrNdyE/jIOE0YC7e7LevzM263W0IIXF7eRc/moKapuL29pV7U0uApNFOqefJ0x/m9Sx6++ZBJebLSLJanPHn/PahW6FQy+ZHTquD9v//bLE9XrJZrurGj0JqxH1BlQbIaaypiuyNOPVobhjShqjVXu2uWtSPftgzXLaO1NJcLun5GbLuCpmwIcWL0HUZVmOgJpsCPEVtoTGXpw6yinDKlq4mh43d+5yMu795BNYoxtdhsKajk/HJAnUuFFeIcPYWBQRKOk3VYZzh56QHj3VdJY4utElaNhOgYoyFZsTKH6NiNlq11/Oyf/oOcvXGXVaV5+skzEelkzRtvvYotDJlAnEbSrA8pbMk4TsdtpPg7ZsGLkUnGQWIcxoDVjrHvKZwjas04DtR1zWp9Qp6CVAGTJ2dxIsoPK9frOARUtjiVuHe54tVX79I0DUpJozvlQFWWR89AJpHmNAtjjOga5uteKeH+/zNX3itkxVRKSC8ZjTJaymdj0dnjrMYqT+GW84kXa2qMkjtfOCcz2JRI6OOJUTPlxDlzbOwdBDrG6CPAwjkrAhF1ACtKDvhR3aU1zhxCL2Zrbg5YYwle0MnDNPHgnVfBObaPnhJHsEVBWUPKHmPEUFQZhx/FIto0DcPQUdYVZ+sLppgoqoYCiH7EzICGMAkVNwFNs2DftbTTxKtvfYHz+0tclWl9i0oGHzraITPtNrzx9pt89N2PefStDzh7uKZc1IRxonELKDWqNFxfX1MXJaHtGXNkeXqHzX5HlRTsd7x0dsqTpxu6bs9isaI5a+hixGiJeLaDwhaQskaNoEqP94Y83KJdg/cJXVRUpQhVjI3sPv6IzeNr3njrFcxiwYgR+66NRJtRyZIjOGeJYbY1o8XZliJMgeADqSzQUdETOP99v59H//uvsAoDmMwYg0x3ppIxncHLL/Ha177K6+cN1nQ8+/j/xbslN9cTlw/ucXqvQhcKHz0qRMkSCOlT+DJ1ALRqhSsaslEkFUmUqKxQOvONv/ZrTNMkcVjGoKLH2kJGxe1A4Qx9Nz03h8GMfE9Ms7VYJXjz5Uu+9tXXeOOVJdZKClSYJpqqxDpFURkxACkNNpN94Hkk10GYo8lB2BSfdXx+c/qcj91I9PN/+KHTXRWWwlpp5jCLYUjzGC/jk1gRnSvR1s2yXKHdGKWPZowXoYnAcUyWUmIKHh/zETTonJtLS5nzduMkJ/sFL74w/AwJi4+Re19+k7Db8Oj975KiwDPPVkuMRmKsYkSXjs2uZX1+xifPnpGNlVluzjg0z549o0hGWHJFifaZJ8+uiUkTetjsAz6WvPqFl3GLTIwtQ9uyNBX9bYsfJ6rTMy7uX/J3/ur/A1iWd1bkdiB2I8FmfKHxOdFvdhRJEbuBab+ncA3bruX8/l18N1HkwMe/8S6hnVifnlOvBN21LLSEL1gNceTph49RYyCrxO7ZhthKKo7WmkorXOipwoAeer79W99i9JnzVx9iC4mQsih0VJRJoUZZYXMQl1+cvDDpkpT8WeibMibrRlI/oaPCr5eo0xUYi1YlKll8ghtlOP+Zn+LBT/0IqzsVZrrh0Xvvctacsd9HXnr9VZYnC5QGPz8opikQg0JjJFpLu0+BVq21oAxxTkZS2qINpAjf+gfvYlxBN3aiFTggywfhPY6jxxTuyIc4LCwhJukNFQV1UfCFV+7x4N6KZTNTfeOEmgM2mYNCAfJs0T7Yzl/kOKaUUFZCMz/r+JwSbjiq5Q4fhHUaZxSahOEfdddpLaQUpQU5JJWC5JR572dslYAaDzFHB11+PwzY+YY+SHsP0tLDGG8cR8hZIoasE+iFEqNECDMDL8qs2ftA1/UkDaQelRPL5RJXVRSFJU0DpRHIpXMlQz9xce8+H3z8CWd3LqmaBVpZurbl6fUVrz94iZRllenbgac315ydnFHYkqQ03gcWJ2vKRlHWmexHKmXZPdvhXMGIoVbw3m+9x0tvvcH6YkGpjBg7djtOT09BSzMsTJ44Tqiksc0SH1rOl0vGZ0+oq4JH3/mEoqk4Pa9IZPa7icJYbq721Dpgc2YaRtZnp0ztyPbpLc1qST+OQuchUSh4+p0P2D56zLOPP+Zk0VAtHKYqGLyiaye67S1+2DFNnqGPMr5FKLgqRuI4MXT9HFsl6bGh68jB0+86pn0n8uy7D7iaYJwSPleE81e4/PEfI99bYGvDo0cfcH19TaOWbHees5deoqwdIQhjz3cDYQzz/lAdoR8g19eBn3+IrjqUz6jAMOyxyvHu3/822hhOTk5I6rAPF9IR8XmHfRxHlsvlnG4rMJXSOlaLhvt3T3l4f8164SBN5BCJZEIUyvCBASEPIkWYk3YOC6WzpfS+DmPwFxyI//Dx+STcZGjKShJYvMfomWlPIo8Dui5ph56TUFOoCpQ04Q43ujZ6ptuKn9pYK3sGk5hyP8f/brBW048tRS0Kv5OTNe0mHC2YRpQ9BJ/ka2Q7MI6jVA+uYAyRehZ6qPkDnqZInBKpSuASqp0Y+w1jANQ0p6ZqxhBo25GmEXXb+fkl4zBSryu6do8rLRd1jU8eYxTPdrc0TcPF+SnKFQyjp93vePDaK9TrgshEXdYMU8/10x3l6QpdWvSQ2Tx+yhffegW7WNDttoTS0Jzd4fJkxbu//k3Oz89xlSGVhrJu2G72rMslqk18/Nu/yfn5OTe3t1y8ep8cokA+LLhCoVWBSVvCmNjcXnF2csm+bTHLBU1eCiH45IKUB4brK55dbbg8u4dzFVE7ciGf383Hj1ndvUOKmkVRMPmAXSzoczd7J2ZGYYgoYymqitiPBCeJQsVhJdOaMCRuwg133/gSXad59PQjXv6pr3N6ekY/tFx95z3Ug3voqKjcGnv/kqSgIksTMs/bOu1e0KsnadIpaYodgiz9GGeLtBWfRbaCBisM7e3E7aMdzlXYrHDGQZ7zG4wmGIMlE8ZDHt/zitMnxbpe0JSW+5cn3HuwoppNZWGK5EJT1AXGKXwayRr6MWApZ9mtR2W5fq19jnPP0aP5Z6x7j5IUUpCbPoYsPPbZ+64RzDLazvnliRS9NNd0FsnljE4qiucmikNV4MMokUch4Yyl73tCCDx58mg2+QTS/CQ8lPs5KYJPxDEeG4DBiznEe49Vhv+PuTeLtSxL77x+a9jjme9840ZERmbkVFlDVpXtclm2aavbE+4GgRupJ16ahwYJ8QAPIIRASN0gyxIGWoBbgm5QC5sWbXUbu42H8kCV7SrXnJmVc0RGRkbeiDsPZ9rjGnhY+9zIsqqqkXjI2tJ9uCcjTsbd9+y1vvV9///vL4XCtRbpArlHpbrrHtdsX9sl6QcJcZIkWNdi25rxsI8SnnJR0CwrekmKbC2T0SBEWXc59vOqYDIakMYatKIpK+bzOdduXSfLFUIGtFTbCKwRga8uJbGKmR0eEY8mFIsli4NHDAYDZJRiyjmnjw4ZDAaB9TctSGSM0ZLBzganx4+IpCcRCfPLJZvXriGVR2easmwCKz+PUaolkhFtWdHLx1wsL0j7A2xRkeUJTsX0+hnSxwgjmUwmFGbOop4SZSlKZwidkQ36OFOHoM0oxjiJmRf0vKcuCnzTINwqs9524iyJbw0ROgRfNA14izUNurbMqgp16yZ7f+HHkWs5y+kxy4sL+hublIUhyUekwyHKWFTb0HTjWGdBC01bVvhORCM+kG9vrSWNBPVygXXBUCQ7EQx+lVsvWEwrXA2mCpVOU5Q0ZUEUx7gucFN1C0sca6qquKpA+70h49Eaa+MRN25s0MtD5990JqAkiUKSsw8jwFWWQxDhyG7M/Dh154PpS6vcx+90fTgPPdBah/WQJBlKqSuKiUgyGmtx3mPF45grpUBFCaIj4UgtUFrSuJq2La/ACMJ72sZ2ueOAc6Qqpm0qYq1JYtVl0oXyaBWb5OjGS11XVHSSXLqz5bdx160PZdlGCk2BRrBYLEB61re2qauCzcmQtVGOaRdYUwRXlpJI6xEY6mJGL1H0kgTnFZPxJspbokhTFA1nlyVEGWqQIHod1njRUi0LHJb1nTUO9x+xf2ef0XiAN1WYiKQpZ4tLIi04fnSA9hbvDE4qepNNyroh1oRorGzC+aNDhGsZrveoXQ1eUs9Ler0MWRuaWREAD8KitaRaTonRLKeXJHlCMZ8RWcv87IJyviTqJ8hckQ5S0jyjWM5xTYVUgigb4KyirSxNsUBpR9uUIZ68aVmcXWCKBtWRdtq6olxOscsKXVtM1VKenmOnc4Q1OCUQNCRDh/EXTA/fxzQ1vf4QdEY6WSceDRFRCD0xTRtKeRFGtN4G/4foJN9SRcGKLjxKC8x8hnQhIwEZHiztgiTcK4OrKr7++a/T1hrpDHmsSXUY52pvwrhYaebzEHha1SVShXy6JMkoFyVN07C2PmA4jhFUOBM8JDpWSAVaCqIO6OkdQVAmXTjvdw1G4yReRDghQWkcksZ9n+304Vn8djVRVVVYa1kul4Fd1unnVytXKF1sx60PKikhREfKfdxwcc5dgRlXTHrg6n1Wo5YoilBCIqyjreuuIWJIsqCNL+qg5FtJGld2Wi9VuNE+9CN8h67eubbLZDJhUczZ2FjDmJa1tWFnKIqCzFaDkTWtNWSjNR4dXzJbLPHSMl+c46TGW49Do/KYmze30DjaJnj+jXNYLOP1NU7PlkQ6YXtvjagXZMaNMcHdZQTFySVrgzFl0ZAONojyHKcCbnl2/5Dm7JhmMWOwvcHg2haLoiBG4qsG6UJnWOUBMXZ+dEK/3w87f9rDOVAeqvmSfpowvTxF+JbxpE/b1gGNXYfKRHsFjcHXdWiyRhpjW2KpEG1o3pmupNdCY6oS27ZY04ZwUe+QtJTVEtu0SAPFbI5MFNtbfWJtuTw75737ByBHJNkGlRH0ej2SWEMXpFJUJdZ3Y6wPfFaklFcRatYGfwXGEQlYXkypLmb4osSWJXRyb+sD4Vh6xef++ee6pNqws85mM4RWVE1IommsQevADnDOkWR9UJq6q2rXN/tsbPUZj3qhidx2YhwpECoceY13IanJe2xH/o2VvNqM4kQj5Gpk54lUEPB8t+vD2el9mItHXWc9aJI7I0w33zauY+B3wRcr6621bfcgKtom0FCckzgLUoTdPYQfhm58nAZKi5D6Km74g/RU4R2xDm3YWEfd2M50tFlPa0LKSlFXIb8MQnMPz/a1Tby3ZEnE6fExh8dHlM0Cry2jtZx+X5NlYTeqyyWyy8iLkox5YegPJiid0tYF3hnOp0suK0lvnPP00zu0JlQRiXecnU/J+jlR3OOVV97m5OSM9bURiVY4BUkSvAR1WXF5fA6lYX5xydp4wPzyAK8dWvVJncW3DecPZvSGPdJRD0RoOs7PpvjaMOz3wi/JWWQaMR6PsedzlPVYCeBoywpXV5TTKamHVErq5QzRWpazJUomWCuItKauwpndO4vvxqlutsB1kwTvPTrNQ2MXSXl2RuYktijQUiNLx9nDQy4uT9l4ap2nP3GTUU9w7/W3WE4L8t46ezeeJ84nxHlG2ouxTU1bha+V8WkVS+WdCGx7qUGqkBC74iNqR6w883cfYQ+n2NMF7dkMW81x5QxTLxBti6wr3n1jn+lhFTz7BFlx0mUWIAONuaoqlA7d+ChJUTrFo6mqhn4v4emnJmxvpvTzCNdCY0CnGVEvQ8UKSwh5iTriklIKJx7byqPOhQphcoX0tNYj1PdZwo2Qj1NglVLoOEJ9IEjCO9E9uCEfbuWkWnX7V44mKeUVXDOM04Lmvu1EHZ6wADyGIGoa02J9EAcppVBpjHH26jyUxglaKUTXdV29vmLWgQxiCOEQKkZKT7EoSXTK8x97htHaEBVD1k85Ozsh1iHeOo0jUh1RFpazi0tSLWhsRa+fEIuYxcLQtJJGlqxvjJhfLsiyHs4ZZpdTJhtreCd5//4hvTxna2NEnCmKokZ2D6NtW9oyLE6yl7K+tsnhowOSXo+jO/exi3NO378gjcds3b6Gj6FZFCjTYotQJVgMJ4cnZJ1e3pY1NIbGGObTGWdHh/QHGeP1EcI4zKJGxQmnJ+c0i4pqvmRjNAnjt6YhThKGkzGtMQjjcG2DKSoiJNoLXNMS65jKtGS9IShNP8qpplNoW5pFweHhMdmoz0d+4DmyBE4e7nN+cszO3pP0+hsgFXEaoyMfjlKuxppg323bldusE9h04JXwYAbazmpkLAkBJrODI9rpjLYOfQ1bN4xUQnFwymJ6Dk2Dt5Jf+8f/nNYGoZeOgtbe+xBVLoRgPp/TSwP+OjgBBfP5EoAsUdy6tUMv86QJeNdcKQl1qkGBcW2YSK3MM/6xZ15oRWMbTFe9rKph5xxeOLz47t37D2lk5646mW3nHloUS1r7+GH+oBIqzYI9dZUtt+q+ex+6vc6FxoeUEqkfU2rbtu0WALrAwe6XjaRuQ/SxVGHXrtvQ4ME6lFfQ3bPVcWJ1pofQhLRCgjIsp3MiFRo0Dx48YDjuMy/mON8wHPUBRxQHHfqyqJheLlgbTDi7PGaYp2FsKDRKJqT9jCf2dlgsp2S9HqcHx2FslUUMBj3efPUdEh0xGWQM+jmCiCRPAxLMBkdiv9+nPxlBrFlWNVJkyNKzu7PDwZ17rG0MiPoKmUi8kJiyppgWpPEqakmTD3JODk/QNijApmdnOGPoDfpMen1ODh5RXM7C/2s8ZHE6xdWhuRRpTTGfBT99+5h+FEURi8sLfNWERaSssK1jMZ2BCSKTolqgVYI1DWcn58yn58zmF+w9tcMLH3sKWy04eLDPsD+mP9jEIohyTTpI8KrF2RrbWJqFwdSOpjZXCbfhYXS4qxfCAx9Sjg1SBmdMz3jsxZRqNmNJQ6s948GQN7/4DdrLBamOKGYXuELxra/cRciISAnSPCNOc4wNlmvXGmzV0DYVtjvC1nVNpGN2tra5vrfDzmafySBDuhBUWbYGHyADV2YaawNQw7SPg1pdV1UI8bhqXTWxA05cX+U6fqfrQyLnwGI+R3Z21TRNESp057VUeP+YoiKlxKsuUWQlRHAiaNrRSBnO4r5tENICIVTB2KZbIUPml7ceNBjrSOIwObDW4WqDFAoVp2Fu291sj0d4EYI0r4IxFXXVUluDsQ3DwZhyOWMUxRydTxnmI/r9nCefvMWj9x9CLRmNRjgUx0cLhNbkox7v7N/n9o1rzGZL0izjclFy+yPPIHVLNS+ItKc2S/r9HjobsDAlb7zxLhvjIWvjDOks3nhaHSyfznnEsiEfDsI9VBHT5YLhYIyQMe3pBcu65OYzz3F2ecAol4hLB74hyXPKuqIsGpJY09oGFWUMBgPqsymNadm+dYPzg2P8siTNUqL+GpezOYtFQFETxwz6OWVZ0xv1cabClSW+NlzMF2zsbiNkUDS2F/MQNqEjWtsQqYjl6ZT++ojKSi7mF1yentEfxVy7sc14e8TDh+9ztH8fHWWsbV1D5jl5lOB8g7E1vg1a+WJRdwKrmKopO7mr7OQWCt8BVqBrgFlL1ssxpkXgUMLx7iuvI8qK1lu2r+/Q0yl/9rt/xNb6FipKsJXBr3v+wX/1PyOaAb5Tj9ZNiVCCrd0dTg6PwkInJMNeTmMaytYSxTn9fp9Yw43dLa5tp/TikMpcNRarIcl0MNZIsDbEtAeHncY5i+9EXUEtSFcJd4IiJRAOHBL/fTey+4DnfUXJ8U5gPtCUwz+2zjZlyD2XIszmw24NzhsQLjTkhOismWFFjKP0qpqQEnSkHmO5fDeG05I0jqHjoYcmn7hS+1keNwHjOKWqqnC86FxPg0nGaDDm4OCAmzevoyLN2dkZ9++/x87WNuPhiHk5D756GeavOpbs7e5SVA2RTjg5v+Cp524jMCgfrLLloiWPh8SZ4sGjh1wcFzSVZWOrRz8PUw5cSFW9vJyhlKaqKo6OT7mcLSgXS/pJhqclTkKoZtTroUVDf22L6VFBcT4lajx13ZIPR6FRWbTgNMvZnKoMib55GrLq80kfEUsujk45PDhnOBiT5hkqjenHgfYzyLMQlBlFSOcwVc0g1pw/OoKqDUQgGWObQKGNlKYoCob9Hs28xNahmXvz9jVeePEjOGF55+07aGKMjJHZgCQfkOc5iA5d5gTVsqGpwsQGKbC+W4ykvmrgrkQ3bdt2f8ZdjXpVpPHCIZ0NWGkd0R8P6amYr/7RH7M53iDuD67w5cONNd56+R7WCDSSpqw6wIgInIEkOAZDWInF87gyjbSml6dMxjnDfhjltW3Yl7MsQccqKEtXrpKu4gWuYtYgjLGtD/kMq9h050KD3LsGJb7PHnqPwHZmA2dtQCchUSIo41YgDOUN3tREIuiJTQfPCFr87pfZjSaiJA2zXS+RMu74aI+z6q9CFtpQaq2kurWpEVoEBJYKsVZaSLSALIk6sw44Z9BRRNGElFYlBOtPrTM7PWf72jbvHRwgI8WjwzN2dvc4Pb/gYP8h2bBPVSzJUkGeSNJMYtuGWMWcnJ3zxFNPgGjRKlQ3tIJGCg4Wc9LhBq4WjPI+m8M+WscUbY3OFA5LPStIUSHgMM1orSBOeqAjJI7mLIAh0s11RtvbzC7nRGVB1ksxccK0mBMZT3F+RoRjWVh8q6EWIARxL0ElCePxmGo24+GDhxQt7N7Yo6iXJKkkjQUKQzUtqGYFw6SHNwYlY2LVx9YVuYT5wRG+LpERCC2YnZ4jjSOVmqOjYw4PT5leXDBZj9nYTTg6eY/F2RnDbIRMegwnY/JRipAN5fISU5Q0iwpTtiEaC9s1sSzIGBknIXZMCmTnklx9rsQqBl0rEALjDc5Y6rMLpAGV5AyHI1758tfZ2Nwl39mhN5ngjWewNgTfp5xb0kzjIxXouG2NqUqkiigbC3HMrK6xQtI4gdApcZSgMexu9dnezLG+onGW1oPvRnne2pCw1E2YcAHougJxKBTOym4WL3HeBNCIc0Dg7iuVgPs+m9OLDj29Op9HUWDf083GIy0RnWNu9SVE0EWvVjPRmWG01hj3ONfs6gfr+Ght24ZZvA7aZ7/yG4vw45sus+2DIxwpJXXXiDI2IJOrpluMZNcPcC0oxfq1a5yfn/LkM8+yWMzY3N7kYnbG1rU9su0xZlGwsbdOKjS9QQ5OkaSK2XLG3o0bKC1I05iyaJkvWxblguGwz6A/4pWX3yRNY5bFJevbExxBLeoEGA8GyWRtk3v37jOfzthcG6IkxJGimi24OJ8x2thExzXz5TFRnHB5GeStw1Efn09YLA1NLdg/uOSksJQyQyVjEj2iMpYoiZieLyguYGf3Nmsb69SLUya9HsuzOa5oaLFEwxTjHHWxZDktaFpB7Q22iWiqmlT0cLWnmi7BhByDurG0Bop5zd6tNZ742B4be+sc3DsgdglykNH2NXEaBZ18VdGUBe2ypFosg9eBx40zoVQ3nXks3f5gf2h1RUp2NulAPkqEYqgS7nzrTZJMszbs8fDeA9bXNtm+tk0k4PLgmLotyDYnVMc1cTaiakyw4DYtzkuy3oCmCWKvQT8Pqci9vLMZw9p4ndEoY22tR5YHTn8ICwlj5tVkCTpVnjFX/vyVkSx8tgnZCc5dVbKr/+bweN9y1ZT6DteHI8OFQKFVAY20krgKBIkKaCCdxSghiWQUAgzk4xsSSXU1+jE+7P6mCmQSpYPTLiTYxChV07a2uymefhbSQq1pQUu0XAEyHJFUCFbRVgGVjfVEOhw5rLM413VQMwW5Yno6Z/fppzi4d0Q6yslEn7SvsG1J3SzYWpvggXTkOT2aolzK6fk5H/v0C+gsIJgP3z9kvDamdB4VJVzOCurasjac0B9G5L2Ixeziiqc2vVzSHw45PDzm9GzBxvoOw36KlFC2FWVloTJs7myjhim+NKg2wniPiDK8T3j4qIFBTp6NuFguqfWIRVNxfOc+SWu4ODf46hE/8IPPsrG71hGKAqcNEorljCzRAVR5sWTQS5fgBtsAACAASURBVIlSQk8ij6guL0jjmBZFLHssmiX9fs7ysqS6tEgluSyO6W0N+djHnwdX8f677zIajRnfuEnjLMM8Js5i5osKV9tOHuwQUuNlwKAjZZBxE3Yw0ZmnQuhFuFZN2FWZb7sYaqFDUGTs4Ftf+BLDuMdAJtx5+RU2djc4e3DJ6392hzzrce2j19n51E3ifs7f/fd/gXLZhuBOIM2CUcq00Ov1MKbBmIa19TGXJ5cBY65TnGm4fesGW2uaRLe0RRCESQVRojB+Rb0JuC8pw0ZohbuayRtvEHR2cR+4eK4DxDosXgjootu/2/WhgTFhlWqqrkQ4cZcHHml9FXjRNFX44bqVTQlJSJW1wVfsHKJLIzXdJCDkhgfQIEDTBN3zyrQAXFUYqx1+dd5fmW+kDxLXlewxoLYfZ4s75yDJGPUHHB9fsntrByUTKleFhpWtuXnrBmVZsnWtD06yd2OD5bwgTsJEYFlUWNOQ5xnzWUFvNCRJh5yfzxj1e1hfMBzktLVBeEdT1ZSLkixOOT44Y9Drs7GxxXSxpGxaol5GU5QUszmtUsQiwlYVaZRjTczZheFrX7nDS1+/x/47Zxy8ecDRO++wrlv2ZIs+PeYTN2+yvdbnxq0JF4se7x+VVEVBvahpaoUnpq4MZxctte0jkzGD4RrCRcgmQmUJ5bzCGBAyQcmIRe3J85ij4zNUkmKqGusbtp7e5cZTGySu5uzwlKg3IZ1sodKILE+x1lPXlrY1eAdeaHTSw+kYlQ4QkQ5VXKQDTekDDdcP+sk/iFYLYhyN0AGuKr1jenSMdo7JaMC8mZHLhK/+5pe5/+ZDFtWS/kZGMhnhhxnmouL+3YdoIbFtiRCOqq2uSuzFbE7bhHSfpqxACNY2N0L6jLRsrvVI4oD5csjwb9CB5Kt0aFBrrcMCdjUq9t82Nl71pEL3PjS+nQuSZUXQDHi+e5bdh7PTdyuvJ8zsoyjpAi8cQnmkkl1+fB1GUkFPG+g43WqmVEgnUUqBJyiilMbFMefVRdDUE2CEaZoGFDWePNU4Y9Gdf155d3WEiKIgzgmQwwRrAhYqTjQW2/mhdeAzO6BuuZi3bN3a5uHrBwzHMH1YMRn2eO/hPluDIePNEZfnU3ZurHPntX02N9ZofR1KO2dZ1BXD8Rgrw4f11W+9yd7uHk1bsLU5DguQlGBBRRFKasqyxtQNw14f29TsbG9SLKecPiooqpqNrW2k0NTGIGaGt45PePXt97l5+0meeOJJivklxXzKYiE4OV7y4OFdnr15G9fUFPWCwXrCJJMsi5s8eO+QLFljPHRM1jKKomYyGHAxveS4WWKFRNYNeRyxvjEmUim13OLNO484Or/Lu3fe5t/4N38G7x20Ea6qKP2cm8/dZm19yNn7+9AYRlu7iMGEVniSyGPrCoTEGECE2CulFEaEo1pjQ3d8daTrvFNX5GIh1NUR8oMx5t57RCdr1d7jlgsO3rlHP445evCQN167y/zoHFU7NrZGpON11p65zcYLt4hUzNd/7ytUpQVT0UsShG+REaRRzMXFBVEUdc1hS1HXGKc5Pzknz2KuXxvT70u0FLS1BTRSqbD1qiBY83STK6Gx7vEGhexUd9/GgnTdkXQFhXmsdP1efvoPyWXnww8rJMZYlOwCFeqSVATktfeeNI5REhQriSFIJa6kiM5ahPPIrloIs0qB0oIkiZAy3LQVUEMQxnvWBTdUpCSrlNuVoiqONcJrhPNEAtASbw1ChvcuqwDacN2YKJIGM89Y3xsSzwRVr2G5LBlOcnqDCe+8/jo3n7rNw7vvsbU75vigJU56zDpazmi0jvERThleeekOa+MxShg2NjZo2pqmXFCblihJqRcli8WCXj5gPB7jfIiSMtUSU9VESHZ39yjqBmyFTkecHJUUbcUPfeYTpLHn8vSEQZ4ihKK+mDJKdziYzvmDP9vn4z/4CcZ71/HVGd7DrSfHVO2AKTu882CfbN8hmh4HJ69x44k1djYjBnGMzSY8enTGy6/f4e7bb3Ltyee49+ARH//U0+w8+Wl+8Rf/d/7W3/45bl3vEw0TXvzYR3n3/ts0pzm1V+QbGyyAHjVKSirjaZ3Ad4izKErCJEUIfBtyChKl8UqGcpauhJcehESKoEF4rK14rLEASKQhU47l2QXHL71ONKt54+0H3L9zn14ypqeHxJlksDlm+6NPsfexJ0l3Mu788Zv8/V/8xySux8beOsXljCgWtNbQNhWRlsEt6DSekJRct54ki7lxfY0bT0zopYq2amidBg06jpCRIIoTjGnwBNu39golAPUYaa1kRKBDhYlA+OyGvoAWK55EeFpWop3vdH1IO31w1zkhsM4SRSlREuinURS480kchQAIWxGrtHPZKbSMcD5EXWkVhVLf2asjQ1vV3QrPVY5aWzcYCUkSkSQ5zrQYYYhUsGymaYpzIeu+n/cwdYPzvrP8OhAWKYJXf9X5zdMUdExvuEkzP6FaQmtnIdkl9lwWhjvffI31vV3O9o945oWP8to33qJsLXWxZHN7j8VigbUtttW8fe8Bmxvb5JlmMunRVGU49mhBLDVeRlzOLtnY2EAIQW3qx2m83uBbT7YxYH56TtYb0UTBOXe8nPPk0xNoS8xCcfpoQennRP2M/eNj5sfvYWSMifrMrefu/im7k4ihyLm7f0q+vs18NiXP+pRlw8nlJWW9xrvvKo4fluzvvxEikyPN5WzK3Gi++tVv0BuN+Z3f/SPyeJ02HfDll17jsz/1bzHoaQ7v3aPXZJTA1nO30L0kpLnK0EhtihaECtpzrXDG4Wyo9IT0Id0WgycQaVsbZtTgcC4Ut7rTYoQKTl8dDSWeHo6Hd+5y8f4BB9+8y/47+yiZMtR9dBfFpZXm+jO3GD27g1wPQaf/7X/53yHEKDRz6xrVHRfa0uN1110PvcEQWlpWIFM21yasTfqsr/fCxrFoO3BLjIo1aR5fdedX6HeHv/IKCCGu0mlDX0vgu8omyNCbgAPwMnxJg/x+Y+RBwFM3JrRfrGmpfUM/z6GtAguMYIRJRnFoVHQEm0CjFaGRs0ouBegY+FJKFOEc7nwoiV1rSOM4cNg61pmQIQ88S+OwihLCJFZ9Ae89LtJoFSYJrnV4C3mcYFrDfLnEPHyAWM9pyyW94RrSa+z5nPnRCaZdMhlucnTnIetbm7z5+ts8PFpgfUaar4EQJD2NyjRv391nc+MaSWLoZym2asC3GNui0x4gODu4ZHNtE2MDSSaJM7TSzOdTrGuJ+xOiWIIVLGdLWj/k7oOHbF3bJVGKo6Mljw5Lag+9PKOYt/TSETc/+RHefXiG742QKuHkcM4g2eXe0QmVlJTTKW9841WqzpVYFBU3XniWJ/Y2+cJvfw6XphSXLdOzfaQImX9OxZzN5+h4xPliRjaK+MgPfYw8Fdx76RW0SFh79hmSQYSPLdaFZFZURNN2+e8iHNm8DYGMQiqsMYG5B2Enx+CdR4sUJQTONwhrkEKH71fmK+nxdYtuLbIs+dM/+Dwn+4fMTxaoJkGaHKWDACw0AT3bz+6x9vweYgjjnqY5azHtOmkvpZrPMWXQ8zsfJLGFaZn0M2IHzjqWRY2RMTpyRKJme2uN4UCwWLZ4FdO4BaNkhJeGsglmJCmCvVvJrlncHUPwwU4OHoS4SjvyXl65A1cBnsaYAM38Hi67D4eR15XwUsoQGe1BC0mxnNPvNPHGGNpWoq1EdkQbiw/47CjC27CqaxE69oaws6vuXBRFEVqFRmCyWiykCMo94fHGkqdZgDOogNCOdbh5Ko6QnkAuMS1JpJG6S9jplE+5Sfji577Jj/3NzyJ0BtpSnC4ZbG0ye/d9hnGPt957SJr2ePfhBXqU0Ouv4X2YQiyKkv5wyP7+I57Y26UoCtaGY5TylE1DoiOkVpydXtI0TeDjC0+kg6CjKAp6aYaUksnGDhpBu6hA95g3NcfTcza2NtgZJ+w/9Dw6rthaH6FJeHQwJUonvPjii7y/f4ZMZri64vy9RxwcHfLw/XO2n7jOGy+/iilb+vmAppkhhOcv/ZWf5P/4J7/C2d4t1ia7nFQLvDDI1DOfzZmVJcP+OsbELFrDv/cf/BU+8dENxOU5r/3Zy0x2bvDUR5+l6RdYW0MDwqZ4UV31L5yzwWjlHaLTY7junLv6/AA4F3dj3ja49JTAeI9Kc5z0SGEQzRK5LPn8P/tNju8ewNKjZBp6STrF4ZCpxinNcDhk5/ou157eYevWOmIikFby+m+9xt/7hX8EdoxpZgwHPWIfsGxV27HxXEJdLrDSkQ0mOBdTly2jQcSNGxN2Noc42+JEIDKlaUYUK7zmcXDlSkgkQ7y5jAKrTyiN8x7RRYFLHV114L0PDMcgPW+D7VcYxAri+R2uD+1M39YN3gezf1uXWDRJHKOl7x7amCSNrv7Kasy6Ql5prfHO4+kUTSLw8E1nemjbGpwn0Uk4Awm6EpCuzHPgHquypJSBr29M4Ki3bccT9yGOWWtccPBgXY2wcHJ/Rm082XiALQsGO+tc7B+xd2OXozcOSF3GxUXLc5/9JPPLE07bOb6CwWjAbFnz/v4BSsXU5ZKNSZ9US+q2QemIWVGQ530UMYNeygoBZjsDUi/NuLi4YDjqY2yDazytFYgs5uD4iOs3b5Box3y+5OJcksQ5UdLHVBEb19Y5ODvj83/8RcpaUcwLTFXTn46pvETJnMODEz7+6R/i5O57KOsZ76xDKvn93/ltfvyHf4RvvfImVJ7JrV32330LrQRpb8ys8CxLg04kP/Ljz/CjP3ad+195meK85fqnnyfp5ZR2ilx6vLO01qF1EECp7rgWLtftZqHB6Y0LivSueRVF4ZgHQDC1IYhIZYaWAu8LYmP52u/9Ea/+yTcZsk7aDHHaU5ULsiwLZ2Th6Q0GRKli89oWe8/ukW/0kGPFfDbjl/6TX+bgSCJtnyhVJEIENnZXFbZti/OeXm+A9QkqFizrBkOCkJZr22Nu7E2II7rYKRvGikrhlEXJgIoTQlA1K9OTx0t1pQA1xiGQV2g3pVSHwLZ4D96rK4s6gCDB2e+znR66MUr3gwghcMZipaIVLZEOBhlPiqPz3LcSZRM+mFuntca1BiVksBN+QK8PdEDLAhUr6JqB3lmsD0jtOI7RQl6ZdqIoworAlrc2ZIZ5xxUw0xqLx4aRIIKzo4JssE5z+h6qnzN/cMDkmWd58PkvooRCRpDImEh45nXLc7ef5Ztf+xYqjihrQ9tatjd3SCNHlkbMF1OGowmLqiHNhxwdnrA+GgMOFT/281dVhcIzHg2CFgGPlZrz84LZ0VEQqdgSGkuqRizrS7ZuPcGjywvqS8vx8fscnj4MPRMXURclyjsWxZydJ5/HRTGTvRGvf/ObPHnzCd65c5ebvV3OD0/5Cz/1l/jcb/4uuzs3uDg5pagX6Czh5PAERUSer5P2JT/9Vz/NT/7YM9z9gy9x7/4xH/mBH2B8bUxrS4rqjJgcITUiVhiCVsOZ9qpB64XryvOMsrNeu65HI1RoWikhkTrkAkYyx1tPrg3KW+rjJX/4uS9y8PY+uV1H6xgZW6xzRDpFqpgoSdjb3aQ/SOivJaxtjchu9LGpxCYx//nf/i8o50OEHZIlAu/rEM0lJFpLiqII/SDvKeczolgipUJECcIpBsOIm9fXGfUjvGvQOugy4kSH9GLlaV04p9dNc2UjDw3pqHvgTZCX+8fNSKUUpg7N5dXzsxqEex+sOv57TOM/pPI+iAe01gGg0NkajTHoNKZj+OKcI42SjjcuES6ABZz1V6k3EsnV8cWJLkqoG2lQo+IIYxp0F1EF4cbEaUJRhXDEFTF3FUwptQqSXsIEwdbuSvPvBNgYqsKgWg0uyCyjsmSwvcni0UM2tjc4P31A1I+5ubbD+ek56xtj3n/vPrduP8Wjo2Nm0zmT0ZiqmJOvZRTFgiztsSwrhM44ODhi1B8ihKBtDVGa4U1QgCU6omkq+v0+xWKKVoKqTSlqyPtrTFKB9k1ovrU5RtW8evdd7t25y9ZwDxFrxtvXKC8usU1LnvaYL6bcvLbDsy88zVv371HOPIM05U//+Av0Bn1OzmNeePGj3HnrDs8/9zFa2/Dg3pRZEbLmkqzPYjrjidub/ORffpF/5Uee4PSNNzg/Lvnop19k65l1hA0hkG1dY7VERxmCKExwfBjfKgR13aCTGIXqwi8VddOQ9YKhSIqwsCvvMa0ny3qUdU2sLHXR8qU/fQW3SIjVJrE8Q+sSKSqa1mJdxGh9TJQqrj+xw3gtI+9pRCxIBopSlCTxiOV+yWw+oZ+sISOHaRZdxuJjAu2KBQGwMQlZg0Ir5qXvUO2etYFGqxV2zWJMTR5nqEgGe7Z4DGcVHYQz2GTdVXW7itp+fKwJrlJWQrKOMbEa10WRDyk93+X6EM/0Gme/HfxvTIgjijS0TRg7eB/GeQLVJcZIvAgzft+du7FBi287Wa9zoURs6uBAC5BLhXOWpjUkcRSkm0qju9VyVcJHnXmhsSbosp3FE4wSjhBxZWhRfU1dNpjjEpVkRNpw/uiItZ0tlrMp+dM3mM5OeWf/kJtP77A4OuPGR27yjS+/yeVFxd7WHtZVbKyP8RicVdQ2zG4PHh4x6o9QQuB9i1SuExVp6qrB2JaNtQmmqVAdjKQRPdqmZHMjQSaWdx8teXR8ymWjefjgkK2dTX7wBz/Dt954EzFrKYsFHpAmpOforMdnfuzHeG//HW7uDnj15dc4ffshxAlOCdpE8//8/uf5yHPP843XXubo5BhvBE984uMMkoSv/dmfcPvZdf6j//DnEOeHvPzrnycebfGZv/avU9sZvVhyMZ1jWoHSPXScYrwlshrfWIwwoY/iXcg0MBYrbLdj+Su7tFArNpxDxjGqNYi6Ii0W/K+//KuMsxto2WN8PUOnkt0n9/DnZ+SRQmeKyfqI3igm7UVYWnzbBhLzYEAVKSaTHX7pP/sHvP7qlJQ+wrY0pkZpFQRDxuFlgGLISCNci21aymKOjiM2Rjc4n58Rq5ZPf+IZrm8PiJWjNYGmkw8zdAwyIgSwopA6lOzOfCDwQwfw5eMsh657j8TYFiU1xhmUXEE1HB6P0lEo7f332Zk+rJRAV4oI78P5THpineBdt3K1QX8sjERFgm6hwzkQqsu0Mx0AwwZxTbkM7LBVWEHdlkFlZxvyLEUIF0pDwnlOiHB8CGM7d7Xw6DjC+dAtdc7hVMfJg6u8u1QrPvdbv82/+u/8PBfvf4u1nT1OHr3P5vZNTr75KslmRt85Lk+PaKXm4Z19Ip0xHoZc8dGgjydMCxCa1kim0wvyOCGJ9dXipVXMfFGgkz61hZ29J3CmopwXZKmmMQG3POgtmC+mZKrP3UdTDo5rytrw6c/+AEk/5Qtf+AJtUaCFY9DrU5rg1KqN5/lnnuOdd+6gRcPdu29w+s4jRJISr4/4qZ/+Wf7w//5dNnZ3mdYFB0ePGA6HFIuK27dvExlL/dEn+Bt/48dpj95l/80HiP6Im595HpnV6LLlvGhxUoN04DVtbTrXW0EcRdQuiGZMYxFSIaO4S7WVONGNZJ0BlXZyWomnxVYLXv3aK3zuN/6YSXKLsvasrUt80ZLmYwbru2ze2iXmEh11R0kf8giSPKdxApVqVB6xeW2b//EX/zdefuUAbSaoqEKgyNJBkHybkjhNKYriKtwijjVCK1QUduwH+w/RcYYSnkGuyNIA14giRWUq0B7UY/Z9FCmsWXEaJG2XqnOVQotHCI3oqpsrRah/zLl/XCmESZYT4Mx3n9N/SGDMYAt1BItj1VZ43yKkpWwbvHgc7yu9RHawAIQFFWaZznic6W6M8AjVlVTduSfSstMmh1Ffv98nVpo4zZBxHHYMD8aEc2PrLFYAWpFkvW7mGaoPFUeBy9ctOqlWaGtxDk7ePgYRkW5sUZydsHnjNrPLI2599FmMglsffxqZWG4/eYOzsymnB+dI70ljTxwTxoBZn2JZcf/BAZcXc/qpRtgaLR3IlNaHCmQ6K1BZzqOLGV957S4PjyrqKsA0mnpJ60tevfcOL9874OCioVGS609uc3J0yBc+94cIEz5oad7DGMvi9IQ47RMlOVvXt3jtpa9yun/Ag7cf0BpF//o1/uK/9pd5cO8Bg1Gf4fqIl776VQajDYTV6FizszvB1Mf8zb/6w9wczLn/5vvk13d45kc/RTLO8I2hWASTjW08XgVnWjhCtbSmZr6YYuqGtqiJpL4So8hIIDRI6RHGkCmFbRuU8ihX8eCVV/i1/+Gf8Wu//CfUi3VuPPc0Kg/YtZOzS5q2RUaGWDWkokbbKjjYrCHRMZ4Yl0bkWxPWrl3n/LDh618+JRZrGFsGIk8co2RD3c7AC+qyJOuQWNaEY2cQjAlaLyjrGmtqru9usL0xwlJR1S2tC7bqKJEg3NVGbJzBSxuqPd8gVDDPONGNJVUwlNVtEyrNqFtkuoae9za8pkJFEHgTPkBevsv1L93phRAj4J8AClgCfw34ZeAF4Le893+v+3P/8M+/9j3fN1KINkQRh5U7cOqst5S1IcnjDngQFFjCK0QHtfRdQ+fbkzlDB3hVogc8Vo2QQadsI4kUAuslomPbp1GEbQwGgRQdOh9BUxVXevww3nNkSRj7xXEUxjTDHF06Fsc19/7oS2x95iOI4YKmnaGznJP7D1nbmFD7hr3nb/Hgmw8oC0OaSNbWepRliYwCxmu6rDk+n7K9u4MSoJKEpqloyhqpAxTD14JbWyO8aLDas/mx68xmMW8/mnIxm5ONE2Qy4J1jg7xYoHt9xv2c+XTOcrGgPxxxObvgydtPc3Z8xPn5KTrt07QtH//UJ2iKOVVRcPTokMloDRfnPPHEk3z5N/+AT332s9QC/vTzX8RHKX/xZ36W3/in/xfDtTHXd3r8xAu3eetLX+Kl1y1PfuZTXH/+BnNT4HRDYcDKnLax4B20jjwJTUnVzZrBoVCURYGzkmzYx0kVpjMGpIsgySmjFs0MfaH5+//1/8L7by148dOf4Sd+/FlefukbPPHELnEkuTid4W1LVS5p+0MujGM97xGrBjDk/R7WCHqDjHQyJsoSfv3Xfptf/Ud/ynCwR2NK+sNBUG+2BqFkJ04KAS2ibTt9vw26DVuHLMQmJCIP+xFP3twmzyTWCIxpUVKR9TKSJMJ3fn7dTQBWmDhjGpTu0OuSLugjgGUc4agrfNjFhVI4b9FxErQMnXPU+2BY+/+bWvu3gF/y3v80cAj8dUB5738EeEoI8YwQ4uf//Gvf6w3Dedxf2WPlaizjQ7Z3GL09JuWszDErnfUqgWQ11glmGf1tzYzHl7vy0rfOXnHEVlqA1XuFDHsLPkRlSwSie39jmqsmn3UGpQKNVApHqhK+/OtfoZ+t0RtvYSKH1QJjE7RXjAYxh/WC44NLFueXXLu2gfeWLM8pioqqNby/f4iUmjTRpHFEXZcURYWUEab1eK9wWlO1Bp3mJHEf32peevktvv7SGxiZ8ua7F7yzP2Pn5tPINGZvbw9vYbFYoJTi9OyMXj5gMBhwcXmJ94LGOHaubfPWG9/i7PSQtq6Zz+csywKva47fvcPO7joPTt7jnTdew/mGn/nrP8/n/sVv0zaez/7ED5OoBa9//iXKmWby9PNs3r6JjRUyCc3GwGxTSJ0QJRqpBUVRhL5Js7qvAms8eW9A6zyt52pXU6kmij3eLFBtw+G37vNP//tfJV0mDLMBs/OHOFnyiU9+nNe/9hrbu1u42DCZrHN0eEHbhMwBaT0Y0FbgUahxRpMLludz/uN/9xf4tV/5Or3BFvPZJa5taOqSONJhp1eKuixJshQdR7SNDXgta6iqConCOhBCkUYxW5tr9AcKHVuaxrAiMEvdiclWoptOcosLprCVbHj1mVRCErrUqzCODqzaOQilUFfPx9UDLeW3TbC+0/Uvfei99/+T9/5z3bebwL8N/J/d978H/BjwE9/hte96fTB2J01TlIqoqoogsAwUXM/jfLu2baHzDotOdRR23Ril5WNAxuoGdFBLZwLhdoXEhpBtt3LX5XkeQgy6vHvvfaCguMC1D4RdjdZxJ/rp/g0d/CPJYlRkKKYDXv8Xv4/1GVZF9Htj8nHCol4wv5xy44mbGNcyWdsiz1N0x9qXOthGIx0zGo2gmYNdoqUk1VGIQFYpy8sFw16MNZ7D/TPeemOft+8eorJ1xrs3OTg6JR+uUbaOg+MTtnY22X//Xc5ODtA65uT0nDRNeeqZp3n9rTev5r9SRYxHA6piyXvvvouWmo2NLbavbSO853R/n7cevEPSzzh/eMhgssa127dwpeGZ557mxWd2ePitN1iSs/3iUzz/oy9gpKEyAUipSdAijEXpQj28D7uhtw5nAsOuLEt0mgXmXZzikQFNZS3OthhT45YVYmEYiyGfuPEsoyjlsz/8aeJM8NqdV1k0Ld4ozs8v2bm2SdbvoZRmdrkgj3rhOOgcIsnwecpgbZNB3uPv/qf/kLOjAa3N0CIm1ZI0iUmSmLquaZqGJEno9Xrkedp99qAsKzyOpq0BMCYYxuJIkWhLvx9k5YuqYVmVCEU4JtogsRVKhmhuuHJ4XkWudQ+/8x+YvYvHKPjHPvpO4PYB5+hqYfhe1//nRp4Q4keACXAfeNi9fA58Guh9h9f+/N//O8DfAdjMcvI8pa2bTjvuu46sp6kNCI/vHjohFFEU01obEoKFI9IhQcY5h/PBi4/swBzdD7xqeEC4Kb0kJetcdFIFBWBVN2E/dw4dBc2zjtNQ4jcNqMdySCcg6gwPzlj6WZ95UxBnMbrxfOk3vs7Tf+GT9CbblIfHxP0+ynlyLckbRZwonn/hIxw9uEeU9ACJ1BHNsmI8HqOkQMUJyIi68jjdo2pb6oXn2s6TeD+nKBdE8ZhxLMgdFHZKfzRmscy59/CC2gnGWyPaZsHF6QlVUdO04SHrDQesr69TVVXwfLctQiREgAP8jwAAIABJREFUWiKdpS1revmAsq6ZzudkWY8kH9NGGeN4RNt61tfWOX54wM/+3A8yGG/yld/5XZ7Z3eH6j77IzRcSrJjhhMK2IEVCYyqEabEuRJe1ren6Me0VBKKpWpI0xQmJFfJql2vLCu09pm1Q1tOPJ4gY0skcdvtce7/H3bfu89QnP87Dy2NOTy9J4pR337rLJz/9MQ4uTxAC6spTN5I2j8kmOS6VjCcbnB5N+W9+8Vc4nfWIopjUKWxZkyTRVYNthdcK/aXQe1IixJVFUgXpLgG3pa0kiSP6/Yzr1zdJIkFVleATlIAoT5FxhFOBxuyNQf2/zL1Zj2XZeab3rGlPZ4gTQ0ZEjpWVWaNqJKvI4iQ2RaklyqQGQHZ3Q0IPdsP+AfaV3T/AgOGr7gvDgiG5B8N2C+2WLJhUixrYzaFKHIrFmpJZlXNmRGRExnjGPazBF2ufk0VBRbfbMEq7kMjKyIxAxDl7rf2t73vf5w0SD9T2oe4+Novdgs7rQxQlIUR73o/UJ4SkaYMxPmgZ/ylN+8X177XohRArwD8BfgP4L4G8/asusVoY/xUf+4krhPDbwG8DPD5YCc7FnVG1/9KFKDEVnhhb5ALTqsb0UqrGUXSz+ffy0FfcCnW0ljRVAzJEkoq1LTdPAQ9tlVVVoZIPxACZVgEnBcF5dFtZ2DZ5NJoZPEK6aF8UAaMURkblWJErymHNUurYK5e58+9+zGNfeYnolBZ0+oo867P1gzucu3iRarrDZDRF13H6ULaNtTQx+ABB9zg6GZLnyxycjOkP1sh84Ob+kOPxjAvnztAEx/ToiO3tbfaGMzqDFQ4PD1lbPkPa6eKVo7KzaC0VCd1CE3Csr67hfMNkeEKqFb2iw3Mf+zhXr7xFkedR820Szpw/EzkEPmVv/4BHzj7CrWu3WNpY55Mf+wS3f3SVxx9Nkc4SZMKlV55j7eyAcvYAHTxWxAqimWemBw/+4RlTtqlDs+kMozUyiyPHaCdVcdzkajSBVMcAySRLkYkhaCizjO7ZVR65dMCs3Odka5vprOSVL3yW7a27jPdPeOv1H/PEc0+iVxTjkyGz4CkGfbqdhP3DA/6r/+a/pZwMcGqAkiUGjfJllGArDWI++o1+jqZpsw/KOvo3giZNTUyw1QrbOCyKPE+QYkZ/KYq5fNDMyobVUx10kdDG3aKFwHmQPizovD9RoiNig09ETDdOLnQrSkm8jfFu8yNx3Y5urYtRZ0LJaGX+D130QogE+D3gvw4h3BZC/IBYvr8GvABcBe79FR/7aV8Tb93iB51jrFyIKiyHp6wDShVRGSdbrHUI0WXnI0K7rGIumBfxxWgcBN/m4BHHMnVt8TgyLdBKYmRU581LJaUkWqn49FG6jcaK7PxEKHxjMUU8RszP+xFTHLANZEZRKkkR4NvfeJvHvvIJ+qunKPUxbj+geoqxrVhd67N75YgkzZlVDaUb0VhPURRRlKQ1opzgJxMOTkZIo9EVdJcG9HTGmfUO945OOJ45rrx7E98Ezm2e5+ToiLX18wwnI5Y7AxpnuHtnl8Rk9DcTDvaPYk48cO39GxRZxGf3ig5b9+7gGou1DudgeXWNO3du0VvqczI8IHiJr2fs7tyjyDOmJ0eEaUXefZLh0ZRP//znSZdTjIg5dLbRNDKgMh8XvXVUk+ki9lmGQF3NMEovUOQBF7PbsBH2KWCp1yWRAhNCS4aRBDFFK0V/0MMHw+a5Cbt3H2CHh2Qy4Y//5N+wPlhBWMnBdMLTMosNuUGHsZ0wGTXcu3qXW9fvcbzXxWmBcyckIUEmAdIUKaMOPs0MutVyJK1bT6sokwWBq+PrpU2bCy+juy1JNN2exroKa6GsLSZNSfMEqSVBBqq6JjUxeCOIgJQe3/IcPshyhFgBaB0/d4HRglbU8xDuMq8QlIhYrr+MB/t/veiBf0gs1/+REOIfAb8L/F0hxBngl4FPtd/LN//Sxz70Cn7OB2UxTw/eY22N8wErBImIDZ28bXrUZYVMM2xdI42kbGZRuCGiJt77GSoxKOUWpU6RZgQ/Js1TamcRQuMChNpRJJHYKgWEJmbnWR8jhSSx12DrhqxVxAWp6EhFaBpIROwu14FGOoKDRGnKSsJhiV/TqKKH6lnqZkzeD2y9tUXdSGSakUrJycGYNM1JixyVJjRVzXRc0njH6qkOg04KdcP0YJ87W1ucemSdR3p95GzK+nKXw7Hn7u4OzWxKrSTWO3qzhtpa0kQymdYcH0+RJqG/tMxsOKNqak6fuUCnm7Jz51YrhPIIL/BC8mB/myAds91j6iZwMnYopemIwMpmn+nJPrdu3OLUYxtIaxmVCr/lWMpO4YNkMp2SDVZo6mh3rkYTJILKzugNlplOIv7a1Q6v4rjEE5uwzbRksNSnk+qIMPMW34p1hJEIG6c3FocqAp3llLVUMRYVk6MJSTbg3PnH2b53l7WllKPDMUXPImWGdwknJ46TwxkqFAQUtpGL+DTtA8pGDkOS6giwaOI95FsZ9qws2/N2a/ohkKUJjfVMyorBoEORKC6cPUO3iCDVpnF0M48xDiHjiFfL2PX3BJTQEYdlLVJq6sa1MBhP8A5Fy3qIXUJoQSI6afFtzuNchHoqpTBC40N8aEr14XX+v08j738IISyHEL7Q/vqnxMbda8DPhRBOQgjDv/yx/6evGw8oCiUNAhV3SpW0mOvosorQgDiKky0jT7a76uLLCAHCo2XU4QselkrON0glIiZYJYvPV8rgXFh0ZqXWbWa4wrTJoNZaLAHfNlkARuUUrwRJnmFM1EYbmaJ1LOeCs2CSGLyRBHzXoEpPrxGMDmq8MJSzOE1YWSlYXi0QwXKyP2Q6sYhMsHlmmeUEMlviqpKJF4xFjpU93nznOtvbh0yHJXmeUmnPVHqu3bnFcDrh4OSYk9GQqqk5f/48m+sbdLIUaaJOfDya8rFPfZqkP8AGiQ2WNOu2xNjIX1M6p24kHkGWa/Lc8+IrF1j1D1CjY86du8hLLz3Gcy+s8PTPdNg8o6h8jRWazvJqJPW6BsqGUDqkExR5H+cCRWcJbVKsaCEqwSFsRTM64fTagF4RS2ulA9JIRCKRpn2v20ixaK8WqCRhY3WJjgxsdgq0tfzhH/xBDPxIDO++9QaZSrG1Y3V1lSAkWhccnTSxd6LkArqSGoUKnkwn0brbVp1SSrIsWQi2Op0uwjuMaRdUiNVlkhR0Oynrm32ywjGPMzfG0Bt02uh0i63qCGsJNjIadJtlj2+NRn5BzonioxhpNYdiRixWvH9EkIggkahIc0JGM5Y2sTL+KYf7/yBxTgjhKITwL0MI93/axz708yHCDZGLznls4MylhgrrAlUbYz3v2M8X+xxrPffXz6+mcQT/cKQnhEALyWw6RYRAYgxGzZnkMZzR87AcmndEgcWfKxuPCcG6xfw/tJ3giOyKm1JoQw2pHR6NtyV5p4efVlx78zb1JCb0JEYtxjO2bmiqmtl4QqphrSMZZBrhBdOyQZqc8XTCZFbxxhvv89b7d7m+s8fGpQuUtqEajSgnY/JORtXUzFpufJLEDW6p1+f46AgnYVqWNE1DZR0XHnuM0488CiSMJjVS58zqiqopORmd4DyMJjWrvS6Xn7nIZqeLm9Rsbp7iZ15+nIP9LTbOdPCupJtlSJMgMoVMoyNRBXBtEKZzgVlVMi2jWWU2nWInJfXxCapu6EjF+Y0NchMBF4mR6EQv2PTWx6dYVqSx8VfXMarcREdlJ9Wk0tGMh3SLHu+9934M2tQJ2/fuI4Vge3sb6yMUdDSuCDKOzZQSdPI8BpVKha3L+Ll5vrgH5tFr8/+XMvIVkkRjWz19Vdb0uzmrqwWDpZjQEzMdDMaIuHDDXAcS/xM+xEbcvDyX8e/n9/Mc/qE0IGJK7Vyb8hAJJphHrT2MX2sW060Puz6yqOr5PF2IGFNtrcX6KEDw7dwSaJsSMQwjhAj3n5975u64+a85EHEBwhCx6x4JpbZFYlcLg838V9PEbrJrRybzsUjS9hKMVHTSKP/0BCSxwSRCIGnR2kpEocbscEQgNucQMHww4cH2NM79fcV4chynBypFCoOtGlaWewx6OV2tqEYjQDKcNAwnU5JuwTvvX+Wt9+5QyxSynPv7BxwdH9DMZnTSFG0kZTmlqirW19dblp9sQxsFtqo5e+4Ms7ri7tYOaM0rn/0cFy5cJElj3JbzEqlSyjLSg40UfPkrr3C6MBztHHD+qUt85isvk2Vj+v0BxiiKNI+x0pkmyZN4vnSBajxFeoFrWuBHnpEVGc43iMrixzMG0rCcZnS1xs6mCBwixKfY/HimlGrfKyibmqzXiU291KCLDJFG12UqoWc03klGU8vW9i5Yx72bW/R7A7TW6CxFmpybWw+iZLnXaT0XkxaV5qLdVilGoxFKKbrd7k8ANb2nXfi0m5mlbgJFnpGkgqKj0CYsNCBJogkqblSTySyOgJGxt9keG4wx7ToQP3Ev48TDTabVqczts7IN8Ziz/+YPzMXDU8mfGmv1EXHvxaIEn+fNCSXRiYm4Ka3jnLXFHC3m7+0VvfTiobBGPrToSq0QWqGzBGUSbLvQsyxZ7I5N00TBTQvjnG8CeZ4vyvz57g6gpKSpLCbJqNoNx5iEPFFgLalWpIkkw/Dj771L6iXBS5rtXb735+9QpMt4JTg4OEC3TRnvY6xxr9elKDTe1pxUCT+8cpetvWMqC14XzDAsn7vIxBhk1ufypSe59/4NquNhDF5MDNPxmNQkTEZj3n//fU6fPs3OzhZ7h3ucOr1JcJ4kz9CJ4t3XX+edt9+iVp79g/tsbA44fWYdHzTTcZQtZ0XgH/z9L3JOH9Ls3yZZ0XzqV55nNnyL9YHlwUGJFSm1SxhNxqg0iZLUGtykxleOqoyec5MZjBT0lMTt7qKGx5zOczpKor2LQqcsVl+RkCRBxfdwLrwSWpHlOSiJTrK44LsZq5cukPZzMmlZ7+ZUswkmTdk9OCSRmvHRGFdbektdVJqxPx5zPLWMZ+O2vyDpFNlig6xsg9TmYc5i09DpdOL90sQF1ilyBFHqWjtJ0e1S5ILzF5ZY6mqCs9SVo9vNWVqet8xiclJdOkbDinLqsBX4Jt4n3gm89QsB2vw+VUovZvLzZui8vJ//m/nfz9dVTHjir9+TPnzgaRzTgwXK6IVxYG5bbJxbZIfPgQpxJ3y4M85/Vy1HH6IR54PY4IgrtmjRRkvpWKrNtcpz/NBDuqiM2gElaUJsojjvGZVTglFMqgrf2Fjya0nA0skzhJPcunodhMPLDrJUZCIjQWIKQ5L3qasYxbT3YCtGG/Vy6tkU62ESNLXpcGcYeP36fb7xFz/ijR+8jbSw2l/h9OnTkZumoGojtENovQAECI7pZMSdO7cYDAatuq4kN1FoMqsrljsdcp2gjOb4aMr771/l/v37NE1D3UyRZsov//LLfPzJNe5d22Hz0hle+fJLDHfv0ZeGtX7ByWTKzsGI0UQxqxXOBU4Oj1B+bpmOX9+rmAJbKMXw3jbZZMpKlpIlEt1JsMovzu06Me0Cf9hbXoz5VCzHaTd1lRhUmiBSQ97NyRLItcfIqI0PjjZeK+P27dt0Oh2yXgehDDLJF3N40dqqiyJv3ZTx4VFVzWLhj0ajeKZ3dlF9AgQZg1ecc3Q6Kd2OJi8M3sdjZtZNSHLZPqBAEBd3U7oYST2zzKY1VelaSIaiqWOVI4X+QJnPB+7xDyjwpPiJwBfvbYTFuAbf3usfdn005b0A62qEbLO5fFiIYObd/LIs4xl7LtGd/xAq+pDhYcUQtcttTp0UOOexPsZnqda6O68UlFK4pllw8IOInfp5fyDP400hQli88JVtEEaQZJpf/MW/SZLENzdIQRCepippmgqTaKgcD96+iko7bN/aJxOKYOONgVQYkzMcDjm9sUqWCqoylss3b21x5b2rDMua7aMp2eAMJ7NAt9snRVOPp6yub7B3fISVEoyiKAoGvT6dToeqLrFV9HbXVcWsnKB1QlM2rK6corc0YPPsGarJlBvvvY8xhsHqOolOY3qPFOik4Zf/o0/x8WdO8+PvfZd8+QyXX36WqtyP2gSfICws9ROKNKFuLL3eGiEIer0e49k4qkalQucpeZ5jQuDo9h3EyYg8gCbghafGo4qM2tl23iwiigyBb0evHyyta2eR2mCdxweBTDS6SOn2CwbdLpn0dLRqm2g1JydDiqLLG6//iKpq4ti2yEnTlG6vB8R7ZTQaxqeq0SgTN5y5YnPxfbX3oDEKZCDNMwg69p6sJS8SlnpFq6iDTq8gTRUmiWrPIGgNMfMGM1gLrrFUs4pqVjObVe3SaDv2IYCLTWjv4rGiadziuCNE9I8ooxdrJVpXJaqdhn3Y9ZGFXaRpPMsYGTXuYb5QhSeo2N2VbXcyEpQevmiRYwfShEhY4WGwX5QvRput0HE6gNIok8RyU0iKJIvdz1ZiG4RcfL63TRt7FGJjycn2ja/4xCvP8v3v/BkiNGgjqKyDRFN0e+R5B9ERJD7n2mt3QVgyU9CUM1SRQAmdhEWEkcFB3YC16KzD+cuXOX9+g/Mbp1hJDYd7OxxXU67cO+D2YQkmw0oYTidUTU2v6LGxscHJeMhoVqGkptvtsra2QlXXnByPwHqMEOzuHbC2fppPvPJZTq1toGrP1Svvsf7kWUBgZUJj4fM/+zxf/OzTVNfvIMUqL/3yxyntMVmS0piEsQKbphRyxpIo6aQjrJigVUoQGhsi2EIliqqakeCZbe3QGU1YEwKyDCslXmhSk5EIQ6ISbNNWWCqyEEwiUTr2cBwBpCAzCc41bZNS4dGEIqHT78Qsg2pG1wjwltpD5SOa+mRvTCIzvFRIBCu9jP3hkLy/hHWBNMuZTqfIFo8ej3sagacqp+ADug1ONSIglQdtmFQVIjgyI1hZ7SJ8jXCx9NZZwGQCCLhgSVKBoCHIBpMppAmoVBFENOQINATFdFpSzUrqssFWFucCTWU/gHOLjU1LFPeIttksVKywgjAEHzeJD064/vL1keGyfDTPYYOPyR7t1VQWkyZoFVNpm6ZCe1BeIUTWvgDxaSClwnmHbDXH1rk210xR1xOqsol59YnGywC+RiZp20n1NK5BCQjO0ixeWIkPPv6uBEpDog1SCa6+fQ0/qzEmRzhH0WK7Y0UgKRKN04bj9w+4/UffZvNnfgb9aoqwjlAdMrKO1bUNQhHL2IlVZHmX0cmI6cERo+EMa5Z548YujTYM1h9hZ2eL4KbIkHB/a5tuljNMMpTUXL95i26/x6nBgJMHB8xmM5I8NhzXT51i/8EhR4fHvPjCC7x77V1OdvZ46qmnGExXWVkasPn0Zb77Z69iUs3Hnu7zlZ+9yM6rb1IiufTZFzk+3kMlEo9GL3WoSkeR9pB7Y8qjMV5azFKCKjRuOMONhogkYbK3z0anYHz7HismgSLFGkGWGawLi1AKWlrx/GiHkj/hnhQ6UnHnNz1EaIqSUaXn8gLd7aKzlKJIKIwjt5qZqxmOJxhzzOOPP87O3R2KwSnGkxPOnN1gZ2w5OtwnWEe/yFE6ZTabkXUyFFF6a0V8eDTtGT1CPCzWQ65jMznNNI89fp7z508RI9LjeG2ePiuVQPooxJM6HoOs94SF1z3e97bxLYZNYZ3AWgdBInUgYJES0jRBtCx/gsA521ajPn4VZz/Q21IP+YF/xfWRde/n5VtkorVn9SaWeuV0Fq2nLQlVShnTPZDMYQLzOevCnCBYNN+i/fYhMyyy5QSmyKmqJgZTekf4QAkvPtAU9N7HsMj2HBV81EkvdfpxRNM0SBX/rW5n/LGLKtDCMUg0d35wnbTbQWbx7CnKnFwaCpMirSZRCf1Ol/HohNHkiLsP9jisJN954wo+63H+8ae5cPYSmmgVRgbub+/w6PlHWektkxYd+kvL9HsDjg4OATi1tsbR0QlKqfbp5TEqMtvv3LzJqdVVvv+j1/nud7/Ln3z1q6QhGplOb2q+8gvPsffOHYaNZP3JR1GqQRnwMpB1CnSRkXULrHfRJZemyCzHpAnNtKQcTQBwkwkbJsHuHdHXBo/DZCkmzaPiUjx0i8k2tCSEh9Hl88mJ9/FmV0q0Ut6HYaY+hJj4kqbIPKVY6tDtpCzlBiXiyM2kaezCa82bP/oRWmuWlnqsDno0sym9okO3k0fghPcoY3A2UFu7aCKGIEiyHJWYqMU3kqIomJW2NeGkbKz36feSxTRJKYE0rRHGe6QCG2xUWKatSzRR7ThOolNBkpsY0qkk1geUTrAoGh+oLZS1ZzQpmc0qZtOGpnZtzqOOsvU2oXmu5HMSRPLhz/OPaNELgvco1coHtViM4dQ8jSTIBZASgNacMF/Q1lqaliwj2ptlPmefN2lUq2IKIeCbtkFCPIvPb7Y0TRefN78Z51limUlwxHOUbTyj4xFGRUdcQNJYT2PBB0VomX9CySh2qVPclevoWYVuPF51OHf+UpQfd7qcuB5Tr1leO8POQeDOYc1r1+6il1Y5Go6omposyXEOirwHRBPKres36C712dnZQWpFlmWIVqk1mcYzvZSSk5MTNjc3MWnON7/zbVTT4KRnfHSEkYrp8ZDD29ucP7PC3/7yKyzLgBBLnHrqMQbrXfx4GHn6nZzKeWrboNKUJliOh0OcUmS9PlmSM9w7wE9KmtGUnlfUR0NSINUKleWE9nWhtT8L2qRXaxcClPn7F3yMCpcAH2iyzs/3QojYsJUClafIPEcmBmmgl0iWsgSjVFy8UmGtZ3hwjG0qTp89Q2MrcHbhcHPO0bgWmZ6YxTHPhliFzsdiTdMgjaZqYuOtaWq6vZQ8ExCqBWnZpJo8TxebCdCKwdr720jyIsVkBmUkqoWExMBKQZJoUPEY6EPMZ4iQzJzaxu+rLGuGwzHTSdmOouMEyrlAXVuUb1V8H3J9NN371hbrnF0ILrIso1MUkVvearOtE5EEKhS+jfFROlmopebNFoEnNa0WORDTbySI4InFKeAD5Wzy8McOc1uiR6mIGZaLsMr2uFC3GujQoExsEBmlsXXEJTkXn3rD8YjRZMzu7g6OmrOXNxFC8Du/+39Siw6z/RH5RuBwWuG7Z5mmZzlSy+zVKX/xzm2u3p/yzn3P2Wde5vB4BrbBqcC1mzcYbJzGS4MQ8cx37cYttnd2uXj5EpcfvcTO3TtUVYVpS1TnPRsbG4zGY6yP2v0sTUmNZvXsOkVR4FxsOH3ja3/CP/xPv8TSbMbO1T1OffpxTl/MYXSA9lCVDeNJhdAJKi2omoa8l3H6kVOgAplWHNzbwkymFKVluQr0vSArCnyWUcvWlmwMPtWLRatUVMBJ79sYqPjkwkWAZFWWhPn5eP70d7bNOnjIWWiUJ1/pkS/3yYqC5U5OoWK0FEDjHTs7u2RJHkVZSvLg8ICiKJhnB+g2+LK2DbZuogxXSqyLAaPD4RDnGtI0qjcb55hVNesbKzz33GWWl3OyxNDUAWUMeZGCdA8NL87iG7voritJG1/VICVknQydSdJMIZVHqkCiBdqAkHGjsM5R22oxrmtcwIYY/zWrHONpzfFwQm0DOumANLi/frisOJ+P6qoQXwQfXxiIij3flvaN9WiVopMM2pGKFA+zx4GHnDAJ3jtECDFEQ0JqkhaTHYMxZNsMXCiYfKBq6kVZPx8lJtpEHzgx5EJo0Y5EKgiO3EiMlvS7PTp5xlKvy+bGKYpezo0HO7z51nU+9umfJZxdYqQVVDlTv8rWqENtM9zoHku65NRqznE1Qfd7bJ6/EAENyiA7Hfqn1rFNxfHeHiuDZS6cv8hgMKC3MuDxp55ke+suon0tpYxJuLNZxflHLqKUYjgdc+mJJ1gquoyaSM+1WIwxdLopl84vcXDrKtdu3KfqL2G6MBkeg0po0gTpFFSBYKME1uKwtubUep/uUsp4fIipK/TxkKyu6RV5fGrqFCk0UiW4drykhURIjVImQkzbJ730rSy1JSSF4FoeggQvCD7SYuY6DBEF+QBoY0g6OSqLI0IlIBUiptxISd046qpB+IBWCUknJ+91sS2KbXl5GU+s9ubvf+QmzGEUiryIAp2ymlJVDVLoFr9WUGTRbVfPaqqqafUdctFJl0SNhyT+/PEIGEGf84rUB4GSMcJNS4WWIuYmypj1oLRYHCU9kRnhQgSTBCFxKKQyWCcIaJraUdWWn4K9/+ie9FU1W7iKlDJx3GF/Ml3Uucj/jmVW1Cc/FCiEn3hyzBVLRs6FNZF+My/dXWMXfwYQsp3jB4/RyU/2B1oHYFTdObRWMUJbxSACWqOOtTV4S5okWFdThgpZGC5/9nmee+klktEun3npEs++9DT7sw5bViFyj6/vMHBHdPwxh/e3OTqWFEunyDsZM1vSOJjOKpI8Y7R/RCIFOzs7zMoJFy5c4Nmnn+L2zevUs5KqKmOmXYhOvSzLSNM0nuurkpXNdR7s3OeFlz/O1776VYpOj6ACmar4tV94kcn9+4R+l2e/+Ekm+7vknQ5uqYfsdghtkKJRScyH05rUKLp9waw5xljH8Podqvv72GkZR0cyOhO1UhS9LiqLpW1wcZ6sWkdY0k5ImqrCVw1uLh31ASXANzUyeGxTRbSKdYTYll4090LbRNVZiskLZm2ASpHl2LqmU2TEfVvTNHEjWF1dZanXQwtQJorATkZjQmChjrPWLtDWAL1ej8RkmCTDhjji3VxfxSQSox4KZLI8iTZvW0f2UmhNMu0kQgYeYtalwM45/nM9Ses8xAe0ViRGtWGubuHv/6CS1BOZOtaHiM0SkmlZxdjsyvFh10eGwM6ygqqaIYRECx2dRSFQtoEHwbfnd1/TVI60kwI+Ahm0bnlgEaIRz/gOtMGGsqWPGho3pW5Jt4mROF+jQ0C1nntjFHnWqv6a+HWkMuCi9aGmJjEG5Yjd0iQ+BXSSYJsKlSaoWlI3Ar+U8fxnnuXaD69w43tv88dffZvN1YK89rsjAAAgAElEQVQ33rjB+qVnKVcukyclRb2Hnh1hsj4PhoHvvbPHxrkXmKWOuzdv4BD0ig4r3S5JYcB7dJ6SCTi1PmBv9zY3b7zLYDDg+OSIsq5aF9iUJEnx3nLlnbfxHk5vnmU6m1B7x1qnz6WzF7l26w65mfFbv/FzrBWWW4nhlS99iiQpWU4jKNLnGfXemHJaYbIcmoqkyDCZoawtypW47V3+6He+xnrSZ+3COmnRsNRrMNmENE9I8oQkUUgdkInBSU+QcUpi64ZMa3xlMakm2GhZRscQEu8acJ6QGNI0oWlqQLaI6JhjKALIWUMzmzCajpkFx/W9Ew6mGq+S2G2vG2rpGCxfYjiqELljea1HIqNMOviGxkr6S6s4W5OmCd1ewoMHR2iZMKsmFEt5ewwwjCsHSJTwrK906HcNCIdDIIxGKNAGkJrQBEKAoNqEYyIEcwG88B6FpKnL6D3TAt9YXIi5fSoAUpDImFEXvI3JPUIwD8VQJhrDlNY0LqbdCK2phcDx1y21lrhTp2m6OKelxiyMKEoqpBAtwKAh1xnOWYzQCCKlViKQi/l6aIEXsWwTYp7qGUutsrYolZCYuHFA3FCsbfDOLqS3805/ojXOOpI0Y1aXcceVAeEcWZISagcqRWFwxiGE4/kvfIqv/uG/4S++eQ1hNrnfrHHnDiwPM/7OZ5/nS7/+AtN77/PG773H9Zs72GKZH769R9M5xcQ0vPy5n+X3f+d/prO0zOaZMzzy2CWq/QOCgl7R4fDkkOu3b9Pv9zB5QdrpYh8c0Ol00EnKwcERFy+us7K6QbczYGW1IU26iKpG9nK+9YM3aU5O6Igh/9nf+yU67oRvfes6v/C3v0jJCdPhDE4t0RmsIWcNJwd3yIo1ivUz2CJHpwJfzegFyzd+5w8Z6FVefPZT1G7C7MEh9dBx5+YdbCXJ85Ruv0tvucPmhTWWV3uY3BAS8C7EI5dzONtEy2giwMWkWu89rm43/qqOQhQFQUpCkGQioZmOsaMRx/f2GO0c8eD6Dge7FWVIsMoiQxmTbmVKkWikNmzd2+bMhacwRjFrLJPpjK7pRe69DiA8ZTWlsTOquqaqLUWnQ1mWpGlCCFE4VDeBwcoSnU7AqIBvwDtBr5+SJCpCNVxNcAKhDL61xYYQYqJT41BSUZd1zObThuABb5FSkegWmxXiMW/OwAeJUrQNbYGSKVVVkec5dV1H1Z9sVauNQ3jxISvvI3zSxy58LLF8VcfABa2RLtBYF+eZLsOYqI3WMjLujVIQYujE4gwWJME37ZlJR9kmD0dDLvjWgPAQpTWPGZbtEaGuoospURofLFpJ/Kwm0TGiGilRRlG5hsxEJ5xPNUbGLnV58y4fe/Y57r43ZmvXUmSBSQMXL56i5oQ3/+Cf44eeo7Hg5sGUQbKG7i/hXGB9bZUffOPfob1mNqtYXlvlxvvXOLu2irWWo6MjdGZYWz9Ftx879/vHxywtLzM8PqGuRyRKsnNvC2ESPv83nuDVN97gsaee5sa190iygtnohMnxkL/1W5/kzKri6qtbDDY3CbJB+AbTyXFFD2dSqvtDAgpfZIhUUjUliQZ9eMAPv/5NXnjkEr3ugGAMVi1RnV9hfDSlO+7xo7evcW93i0QlKCXYvLvKY09eYm1jhdUzK/HmV+DaWCLvHMJLREs8Du29oaUB4amnM/IiaQnGxwyPZkz2R+zfeMCVN+/SVJbQ1IwOhxSJB6nYPRmjTDciuAjs7u2xPktJTIaUgrKe4YVkPB7T63eQIrQKbonzkdC71F/m8PAQk3xgqiMkzjuKLKHXzwi+wbko3FEyJjF/UPMenItTqsTQ2HYKMWfbS00g4Op6cRx1zhF8BHXEuOvIYwRiHHmIwa8CgbMuMh+sbY8AavEAjNbwv2ZP+nn3dX6Gcs7R6xSUZUQWJYnBNs3CWGBtg68DS3oJqR7O6OcjEa01tokIrcbFUMGYYxdJsEXewboK5wIh2Eg1VYLExFKpmpVICbYuaUKcdxqlyU2M/FWJiaGbTRNz82rXGndq1s6sgXAc7e7Qv3yJpi7xdKiqilGSc4SiOjnh2tYuDw4a0nSVqcjIfJeRG/H08y9Sz2pG27skScaZ0xt0Oh1++P3v8Oxv/CpSCFSasHF6HaTk/t4Dnn7mWW7fvEWqTYRvDI9RRCqLa0pefe2bfPEXfo6DgwO2t7cRWmGnY7o9w0vPnqHc28GJgi/8yuc4ObiNTCXOFKTFMq6qmB2NmTpDb7VLbQK9JFBfucWtb/2AU0IjOx6dWGzZsHt/j9NPPsLyUo+T+yd0XnqKO7d3mE5rjoYTbt/aYWt7n43NVT79+RcYrCzhqppoDJEoGUk03sdufuPizW2UQkpFLQS+crjJMeXRkG/96fc5fDDDNZqqBpMIHj23wcZSF6zg/kHJrHHMbFxEVav2U0Izaym8K6sD0tIxmYzbezCejo0xHBwOgWjKyouUuo7W2izLmYwrep2ETpGipWt7U9F1l6QR4a60bLms0f8uhIgeDRkfRGU7aXHOobRewDGASG0SAmRABEFwdiGy0cq0G6JHtO5PeGgL1zpSk6uqirz8n9Kt+wjP9FmcRbY+9blNtqosARvntbqLrSuMKpBKU3uHdLEjuki2EXFMpxNDXbdAQW2o3SQ2uJopUzdsnxaOQa9LIDLY69ohQpsoEhxaxt5AohVJljB1FVoEQu1ITIrzAq8NTiu6meHM5dPYzJJMHF73SbOCT3/5Z/nua+/wX/zKf8K/+v1vc3pthbQWnLv8PLuH7/BAScqgef/ukN7aIyRLaxzcfZ9ef4m81+djr3yCf/ZPf5fUSA4P9+kUPZwIjKdT6toyG0/4wWvfJ8kTPvHKJ3n12zsxltgFep2UyaxiOj7ge6/9Wx574imWB6tsb9/Ai4Z/8Hd+ie0334Kkyy/8/V9nb/g+vU6OTwtUbwmHojwcEUJg+fQ6ZrVLR8Abv//HiJt79FWGTg2j0YjD/QckyQo3rh6g0oTVlYJ793fIdY+qnHHpwgVcY6lnlsloTCoNx9fukV0I6FwhEknQ0ZcgsySe4XUgTXOciC5IiaCcjAgnNe+9/h4nDyakvs/j588SZKCsJkgXyJzn4MExx1XF4cySZSBOatKkwNYzhAxs390mNS/hgmdlueD45jYiQJYWHB0/iEQaIUmVBqmYTkZxbt5Ghk+mJcYkdHLDmXO9mJkYQAZPmiUkSVxo1kZDlSBEbn8QBBnP9CGAkQpvY6PTNU17RpfY+QbRPsxEiNOO4BxSt7DQlrAj8AgZFk7Th3qASHiuGk/tmg9dfx/Zk34+87TeoZVaxPgopWjajSB2OR865ubCGaRrTVfRWWZdwNmA8x71AYVccD6ez/EYJSF4xuMxWkWXVZZqgmuirNfSPuHjbuqqMiKLtGkz7SSz4DFZxsqpVTq6onYlqY5Z51o0BLfLM0/3eOzy50ibEV/+9NO8+8513n3rCuXU8+7uEHP2AkdDz6Unz3Lq1AZnV9fY5Sprm6fZ2rnHSTnC1hXKwf17WwhtEHMrpfUYlVCWJXmeczKa8OjjT3Djx1cQbUT38lKPqqooq4qrb73BhUcfJ2w5Hr2wxIuXTvOtb/6Yn/21L1A3u0jrmWlBd2kJmeSUdYlTgmK5i88Uyzrh//jH/xPh7gmDoo8tHLOTY+4fHEappzzi7vYBh82Ibi/l3Su3WD91jpWlHJF32L57hUtnTzMousgA0iuG+4csr6+gJXjnqeuGwqSkSY6TsbyPU51I0E2E4s6tHbKsQG/m/Pi9a9w93OP+1h7OCTqdDqGJ5XVRZNTB01/qYaZjjicTukUr8GrHf957Bv2CpirxQpMVBWKYoJNIF7J1g3UVtArPgMO5GIfuXMXZ8yv0l3KUlFRlifM1RpnFgnXWt3FpoiXiSLSU7ThaxI4+H5QWxzg3hXioEnUBpcC353Jv3SLvbp5pp9vKwVrfRmCHhwm3+EUl8FddH00jT8TAA6njm1A1lixJsR4aG8v06WyGUn20ThZzeCME3luUhtDOOr2NtlqHQ4j5rL2Os1mtkSZQlxWTUUmRJJhO2vYBWvIIUeCltcS1jUOtY3e4kAY39fhUM9Wwefkx5HLOoJNhD7bJtESMp3iVI13C8EHN9P0dbtzY44kXnmP7/pBvvfYOJTBSPWZ0WZ6lnH70WUQ34eITl/j21/+Eqio5t/YYJ+UQKwOnVleom5J+0eXyE49z9d0rlGWNsFCXFdg4Ajs8POS5519k78ER+3duY1JFZjRNOcOWNbUUvPXjtxmkit/6W1/iaOsOF557nqWzS0y23ifXOWJpiUbKKBppKnQnBQX9lS7/23/3P+K2p8jac/PgASeTKWm3y2yqKesZDQ06yXnvwYSwdYKrOozuHHM3OeRgOOOpRzfobyzhZlNSISgnDblOqKcTlC6i1t4k4AOe2HwNRJlqEhS+nDEdDrm3vcPB/oitu/vs7I1Jkh5VpSAYDktP2s3ANayWjuAk42qKlgoliEGkwPHBCbNywunTp9m+fp9z509z8/b9CFvVMeIsTnDmWQyK0XSMTgzO2XZkHMhyg0nAWYt3EbclZIttb2XCUkTPgJGRADW/p5LEMJuWrX5eElv0EFrpb2qSyM9vA1piWKVdeOy9Da0fITa5rfXMMROiXVfzqGvx/4WG+//HFYKnqmsymcXuJ4LxrEJKzWQ2wllBv9djVjZ0nCYTonUSxdw6iYrKBQRC6ogTFgHXVPimwUgV6SbBMpmNUYIFEqmcTdCJppNn1GUZFXZVTXCWgMajcUHhQ01jPaFKKfOcj33pcxgz4elPbvDNf/wvOL12lqTKETrFhQZHydG4z+0DeHfL8kff/2NWTl/iwGtqYTh95gIf+9hLTI+PuXHtOk8+8SK/93u/x8dfeJEHewdcufZjLj//BITA6OQIlSjqacU7P3yTp599jivX3mWw1MOGCl0JhidHDGcTmmnNZz7/Nzja2+W1b/wJ4egEZyvQGUmS00xO+Hu/+XN07JAf3bvJr/7nv8n2nSv0taFSGq0NabdLOSnJlMFoQaco+Bf//W9z8vYhSuYclYGx86Rpn9EkSkSnXmB0n7qsyc6s8vwrz3O8vcOV199nUlqmWxO27l5h8EsvcHa9h5/OUApsOSFPuthZg0wVSZpAKzgxWR6JxNriJyU337nF137/z7i+HUCmQI5UivOXN3GTkq27hxB8e3ZWDEuH94FZGSHkMmh0EtNf9dQynQ7x1jIajamqipWVlTgG83bBwXMYXFOjXUDrGJNuRaDxjp5WrC2lLHVkzOYT0Bl06C/HQFIglvjeEpqWBQAIp/E+xGw92gUqo43W+ijqEUFh29l6cLGBF0QgS1JqG4GZNlhcFbMZ6tq2CK8G1zImaHUo84rmw66PRpxDhPaXZYVt6TVzmIUxKSjNdDpdhFhGhFKNl7Yt7yOh1oX57uriU0KKRW69dzGiyqh4Lkq0RshA0qqv6roG72jKWdtIkUiT4HwsveppTW0FHsEjj3d47tkNljc8zO7Rcyu40KGRFnSDThR37g2p6gmz0ZCTScOZR5/mvZv3wBQ0LvBrv/Zr7O5s851Xv0kjKr76B/8aP5ty584tNs9t0uvkPHLxAif7+wgRPdvD4TFZlnBn6w4mUZw9fwZpolkjTzWJhv3du/zgO3/OvXu3ePLZF3jmE69A0iPUAT8p6eWCxx89w7tv3uCx559h98ENhBfU2mCyDknewzY+9jOCJRWaf/lP/jn2zoRed5Wh9RxWjiAMTjhqSkrbMBWCMghWVlb43Bde5kv/8Zf4m7/5KzzzyjPoRGKrKd4Jbly/y2h8ROXiDZllBfWshMYtQCRCxCRXkSSYNEMqwd7NLf7V//J1rm8LJnXCJCiEynjihZf5+S99mZd//lP0l3LqasJ4PKZ2HisUtYXK+YieTlO8bVjqRTCnraIZZ3h0TKrNBwxXEtu08BTftKq5VhnqwTYBKTTnzq6zslyQGrVQ1GVZ5BF6F6K2pF18H0ym8aEG4fGuabvyceH5xi6mUq6JVNs5SCZ+ffMQ6mL9ApMV8++iay9SpeIR2DaeuvI4F4+jH3Z9RH76h5SaeG7XuCBoXMAj8S7gg2htlg4hH7qwgChdnLPDZSSnSqUQMhYu895AdNM2JEKRtG+ykJDnKalRJCpuBEJJhImiiTxL8E0dM8u9I0EinaAZTkjTgqvf3cflS7EJacCLaMDY2prQMZqkUThSrt/awqqcrOjwzDPP8vU//hrf/95rFEXCiy8+z2w0xlfxDFb0uvR6PXYf3OedH/6ITqfD6dMb7NzbonF1nB87x+NPPRlvUtnGG9UNHZMwPTngzs1rXPnxW2zv71MMVghoRPA889Qj7F69xTTJePqVl6G25J0+Nu3QmLjwlRCUoWSQF/xfv/u/09wf0U077B1NGFaB2jpWl7s8cfkiOigunL+MazzlbMTm5ilef/0NdN6jt3GKX/27v87nvvgZzpzq8YXPv4ydOUKtmM2m7bk4klyVlLhmTj5yaJWgsoKQCWZHx3ztX36d44OA0n1SpbFlhfIll599jGE1o7fZ5/y5Acv9HE18ulVNdPFJHRWes8mIIksJwjMcj2I6cdOwPFjl4sVL4ANLvT6h5S8EEc/Y3ntQEZ/mXPzaUsH6ep9OYQjOxiOkjKs3BPewAScehqnMx3daKtpMi4VCVLR+9+BcbNaFVhoe2gw7YtzXnH23IDwReXjOQ1W7Bb3H+3n8u1qU+B92fWTa+zzPybJssZjnjZCYT9XmdgW/oJgAtHV8FNE4u8Bs+Xa38yJWEECUMkoVsUExNgclYgRQHNFF7bxKDLWPCz/NE6wryfIo1hHacOynvPr6uzwYed5+c4flC48wePYiptOnGUl8rbG2oNcvqAn8+V+8y+HhhMPhlCAkn/3M5xh0u1x79126Rcalx5/g+69+jzzJFxjwB3tH6CynP1hibbCESRT3t3fQRpLlCeCpZzV50SVRZqETL1qir1EJsp6SqcDh/gN2D/bprK3y1DNP8MXPPM/t23f5zC9+hmY6JG8izkqYBJF3mLqGSgSSPOPdf/saYeeEM/0VkrTtk0hPpgId4XlkY43NjWXWTw14/NFNzp8/xer6KtnyKipLyHJDZ7Xg8194gcuPnmJycpeNlSVmhw1NGXFdo9EkCqZmddvMDZg8RwiFTCU+8fzwT79DM2w4tbmJMZ7OkiGj5PzFDV790z9FGc1qWrA+KFjrFQRrMQLqckbTRGNKmmWcO3cOZ2sGgwGibbYlWcHte1s0jcUkisl0RD0rmU4jSdi0cBfvYDwZRsFYkHSylKV+QrdIo45DJ+hUgrBI2ZrBlCGSaTUxXSnaxudkX2Rs1lW1jaX+/J4PcrFJzJ/kc9ly0zSt0EbGo6iNI2lbx3AQicQ5H4U+zKvcEBWqH3J9NCM7oKpKkiQhyzLGbXPDpAnlcNaiqef8Okfq4xsx18WjQcnoE48ee4NvXXO+BQnERFAXzRQqGhc0EdckNCRGRKxQGSiKgmk1JVMaYTRpf5ndu7ucDMfcHnoejE+4sTvi9ls11dDx8s+vEnqPIA4Dd777ff7Xf/Z1bt2f4LunmJQSI0HnfZ7/+Md47+qPOdk/5MzGGVY31zk6PEELw2DQwQdB1u2xvLLK7tYW3ZVVSuvwLvZ4XNPQX16mebBPEhyvf/8HnN04zc7Wvdi1djHu0ztY7vQYlzOskxS9AhsOePGlF7hy5SqnP/1phrbi8L0dVtfPozvLJEs5SI9zU1Tw3H31R7grOzyxfppuXjCqVthcr3gwmvDmmzcxwVNNj/jUJ5/ma3/+feom8H8z9+axlp73fd/n2d7lrHede2ef4QzJ4S6alCXRli3ZoWwndaK4sZM2hpsAQdc/2rQFiqBBUQQtkBZF0CVtGhdBkjZBWqdpFjuxvCi2LMmmZEqixJ3iDDmcfe4y996zvMuz9Y/nPWcoxVSCOCj7AsSQ5945vPec87zP7/n9vt/PN6iS127c5d/9r/4jbKwplEfUE4Q65KOPnuG9197igRMr3Lq+x2pvmLjsIRJsQJkIoksolhmjtTHWWEIdObo84aHT5xicuciXf+frbB4/ST3fZlI7zj10ie2T67B/C+MiKjoKIZDOoaLrICiSWVtzb3/GYJSYes5DWQyQvUhvNObe4SE6U7Rt3VWQKVAyEpBSMez3OJhOkgouOLx3jNcLooy4BmwM9PsZQic3n1jM2mMSgTnXphuZVLjgCDGmWXugo0KRzuIigkyGJu+ST992GhURDbZ1ZJlMZTzdjcV7PLFTsCoiisalzD0XU+lvdP7PLrzu+lB2+hADRZl1SGqbuN7BL4UGsVMnhcAyvztlc+vl98gu2yv6+1QVpZJXW6lk+iiKghAdQcQuq06lGbwx1HWFDy7JNEOy4kahcEFzZDVfv7LH9WlGEzTf99T34Y9aHn3qAqdOttQIVh9/lJXHTvNX/s4LyJVHmOerVAFU1qcYrHDh0qPMqjkrKys8cP4889qiTIEMkY3tLR544AFOnzxFMegzq+f4tqF1jv54JSWjZIllf+9wn77S9JRm585N7u3sMJ9OGK+NcaEB6XGxSfHTZMzqwKya89jFLS6dGuGO9vnhjz+BPbzFya0hogyYPCBii42BsmnY+eq3uPvV1+nrPliLdw3j1YITWyuc3F7l4oUzbKwMWMlywuGMH33ukzz9+FM899xz/Imf/SmMbtG+oS8iZV1zdO02o0LzsaefxvvI9pk1mqYiz/NlZdc0DfOmBp0gl/RykCVhBlioZzUay6c+/RyzacOdgxmjtXV++A//KAiLMAFvG2IUlGWf4BxKy9R5NxqVFx3SWnBwdIDobLVSawbjFeZ1RX84xPoWTxLZJKebJFiHbVMeYt4FmZw+uUWWS5qmAtGh0Y1J1twQ0niua+bdx7svGmoSoTTa5ElaG0UiAGmB7HQAQEK3xeQkXKTb5Hm+LO2ttdR1naLaXIuWAtv6pErssh2LXsbqWsHG1gcv+g9NnBNCwmR5l+7+Rkt818jw3pMb03Xh086tY1zuakIFUF2Wt0zljRIC4kKCmO6Y9d40QSzFgnuWYBoqE2RZLzX3fDoqjNfX+PKLr3B7t2LWQrl5ko89/yO4ec2li33WNzXZ9jFuvTPl0sMf5cbvvMj/9N/9bY5mx7j01CNwdYdcREIuuPjYYzz4yAX2d+/wlS98CelhHiT9wQq7N66zffos1y5fpSxLxpsjVtfX2Ll6nf5gwPEzpyit5dp7VxJKzDmmsxZhFPd27tJDsLG5hm+b1I+QKXihyQtqGxAyI1eeT3/iI7zwhX/K9sWL2GbO6voGtTLQHxDLHq2OhLbh21/4KvdeeosT4xPIzDDKRoRQ0+tluFqwuV4iVcHOtZvcePsdTp45zdaW4tyZc7hc0dd3sIcTdG6ofeTg6i3KYoXp0W0Od3cw5RClZoxHPXyAvJcn+GlmKEw63ulMEUyGkBmxnZIPhxzcPeL2jdv0NxqeePYJolD0V0t0PGJ+sIe7fo1Z1XBwOMVHzep4hUk9w8UUc66UwklPXGwOQiGCQEtJ3ssxWUHAM5vMiUHgQuRgckRhsg5blUIjWhuQItIrNTImR1v0luFw2AljEhNCK53GeMEjpAKplhAMSNWtDT5VHc4hhUiBk6qTi3fBlN77FPflIiEGXHDLBl7wgdYGYgCTdeRhIXFAiJZe37C+0UcZS1lmH7j+PrRFv7AUtvUcbx3G5HjnOlGOxLUNBE8uZYqayu4LIBIbqxPqINCdos4LBxJ0nkHdJg98cBS5IXaeeCEjIoAxOqXbmECO5MSjF3n9V76Fq4Y8+chpnvnoQzz+fVvcvjNhctjy3o3bbJ6refDRC/wnn/2z3L6lyUZbtK3lrTff5g//G3+UvTu3ONrd5623X+b63ruIyYSjyT4qKkbHjrN66hjferlOtNbZHKcU/dYSQmT15HGMKrhz9RYTEbj49DO8/OJX6UXNrEgTykGW08ymNPOquzEWCAXzwxmNDwQkOs741DMPsfvt1xkNV/mhf/1T3Pz2G5SrBcXqmHxjlSq05Lblyhe/xvzrVzjZX0dpQ1ZkyKAQIiM6gcolMkTObK8wKiRaPcB8Mqe6dZsbb77JcG2FWb/Pe7s7bG0d5+qN63z0Uz9IOepzbHsbP5uw+8ZbzPcCGoPROa51mCS0QLtIO62RjaVwHpkFXC549FPPIOaO+mCKaByTo/c4nM2Z31XcuJLxhV//TUQbkPmAvJ9x8eQWwUauXK9pRU4Va3ABmSfxjrce5yXt1OGrOZvbY+7e2CVXSRFYloPkVpQFplNx5oWmsZrhMOfsuTVOnVrDKE3TzhEiovOEwvJREaPDuYgQKZYr9VoVtXPIkIIlsyzDx0jTZeSBSgQh33nrpcKGZOcNQaSGdofThuTuS957TRskjXVIGSBzrK306PVzTCHp9RUqE0j5rzjW6vd7CZHINbb1OFK3tarbdK7xiUEHaay2GNuFEAhCIJT+jiCKBQN8gdFadECjT1ZE19qOjqOWWv80mnFYl8pDURmyAONxn4cvneTZpy9hpOFgv+HKu7s4lTOvJXffm/HX/7d/xH6zxvHtM9SH9zA6cPvqVb716kvIlXVu3Z5xfOsCP/6jn6WqIiuDNYqix2w2o60rjm1tJRVVhMPDQ0qTsXv3LoOVEdevvMvq9jY/8Ud/ipdffhVsxPrIsD/omnfJmhljpLYp3klJQ9N42pheg40Vw9OPnaGdTDj3+EWODm4yXluD3hAbSCHatuXGV7/JS7/4G5RBJrWbUighKfo9ZJ6kqIvXyYeW9dUho35OUQjKvqFXGNb6A/paszVYo69yHtg+iTs4YLqzy61r17lz6y6dKhWpNTJPlBrfMe98bREuYiuXKK4xASFa3zI52sfND5gd7NLO56jWom3AThuOb2xx4cLDrAxzTh9bJzZzRGgIdo7CEd0+eCYAACAASURBVK0lzzIksDoaAwmomfh70Ov1UiqRSg2ypGRLSPHp9Ih+v0SrjLpKcJf11THDUQ8fuoQZlSSvC7CHUimLMTGyYqpGhaDowB50Gn3nXEpHjgChYwiko+siPitG8Z2dd5l+xqYN2DbZvwGEimQlbG2PWNkoGaxo+iuQ9Rx5IVHZB3fvP5SdPoRA4ywg0CbHNg5PxHdSXCESkVRneXJK+YSL1rHoFnfK3w4CZCfMECTvdvLbpzIuesci0aaRAYkG2eG10fTyHn7eEKXjaLLDT//UJxkPjiF8xYGTNHrGgxfX+IX/50UmbSTEhofPn0VMXuNWfZOmntEbpEDG21du8Mwnn6d8foNeUTCrKj72mee5/uob3L1xi1k9pbl3RDWrmU9vcebSg7z91pvkQjAcjSlWRgyGGcfOb/P3/8b/jnc1o16BMpHZfEKW6QT36AxAZVkitKJuHQGBQ1HIhj/4/A9yZn3IvdGIBx97kBt3vk1/+wQuKExvgGuO2H/1Ci/8wq9zgh7j/gCdGWSWI7UGLcjKHs5G8iJLEmTnaFxLmeUUveSeK/sSSAm5vZU1glKsyBLTy3A+lbKoHFX2sYdHKJPilhaOsrZuEcYyMAWtjXgrMCInSE3RHyAri0KTC4VWUyi6BSEMbnsNaz1S9DFG0jYOoiKTglnbYOsKMZsipWQ6OSTPx6lDLiTzpkZoQa9X8N7Vd5EIDg/voYzq+PGBol8wm6VFmuTblkyD9xZrGwajfroJixSSGoNAwvKzS/DfMTbTWtK0jkxrnEzPg+/kxiHSujTJcJ3gRgiJ9YFAShwSwpCZFKWltKa2c4Y9xXC1x3g9hWoI2ZLlCqHotPv/P1v0kHb7pnU4F3A2gLgfv+ucx1lL3d5P+3h/sF+U90m3CxXSotuf4JkeKdN8VKkEHki89LiULSohsU1NrgU+Vtx46x2e+tFP887tfU6dPI7Ztbz+2rvs3Jky8y1eBdb7G0wPHVkp2ZlapOrjgsAoSe7gxS98nmefe46D2R5FDOwe3uVospfyzRzs37pFkecc3Tvi3MUHkKXh29euUR0c8fjTT3Ht6gEPPPwgD5w7xcFewVhq3n7323jViZBCIHgoTUHdNlR124E4QdrImfPrPPrgFm984xuceuxxZnZClhXEXFIOhshBib9xm1/9+f+Li4MTbBZ5mpi0aUFrCVqpxKaXEbTBaEmpUviIjxCNIsi0s+nM4IjoQYbSKdzTu5RPr1ygHPW4u3+XshgmqbMUWNI4KYT7I6wYI7aZE1qBKhR6mCFtDy8CSvcSONI65kcTbDNlpRS0CogZRZHRZpK9/SOkVmRkqMxhlMLkaTy7vn4SsTNfioEm08MU+FlVxJiTa0NWGhAaIWwKx/CQG0O/l7E26lEWhtmsZpEd52JACN99lpKcO8uybrZ+X1sfY6TtIrEW9nHTJTBb69FZThZ118sKCCHxLklsF8k+rbXEkMxlh4eHnD13kv6apD/S5GUkRovJDEKkKiqGFJX5QdeHttNX8wZl0gfOuUTBNcbQupASQCLMZhUujBBkZNpATHdBEZIGOYbYRVgJpFJ47juLvPe0rgum9Ja2lcisSygxBQBKGELQ1Fph5JDXvvwWg61tXvzCVUT07FvB6+/MUcMRp9Y3UNHxrVdexqk+kpqtzZMMywJhMrZPn6e/1eelX/4c793d4/yFc+REbt26Ra/X49TKNrfv3ePchQfwrefXfumX+fGf+SyPfORJ5td3+O1f/y2e+eTH+NI//W0+/tzT/JO//n9wmBl6WZ/GWWK0aJPjpWdeN5TDAdV8ilAZuqc4Xlp+9o98gre+9iLTieXhB0/TxkP02hq94RphZJCV5W/+5/8zl0ZbbAz6FKVMwpgyJ8iuieRAKMNg2CdKkUZIwVH0xilwsbXEkM6jAU/RxVepTh+ea0Mzrxj2+jRHU4rMEENLryhpZrMkJw0Ro1WSstqWTCpkEEhhEBIaqciHI6raEVswpSDPQ3I7ypZWKXo6EKg7JaaiyEuEqGg7So3wjkExZF7V7N29i4iRuq5xbc7W1iZ33jlEK8PR4bxTaQqqyqbGWNMynTYoIVgbF/T7iqaZdT2kQJZrFpFoi2uZait02oC65B4p0+4fglsi3bq/kWbusXPKOYfodAuRJC4LQnZmskAQnigcZy9ssrGdkw08WZ4AmjEagrOEIBBIpEiwkg+6PjRFnhCLVM77ksMEy3RY6yDel9QueN4ixu8goi6fL96P7kV0JoQuENOFBTk3NcMWfHJrLV4EGuXJsz6mXKM1x/jm5XvUpo/trVGxyvf/oT/Kx//Qj7N2YpN3b1wlyzXGWoaiz/aJTbQxrJ07gx7m7OzsMK0dx7dO8NQTH+HqlaugJPNZw+7uLhvrx9jePsaZhy6SZxlf/Y0v8Vu/9nmO2oo4LDgIjs/+yZ/mNz73SwwGGcIEZvWcnjIYk7reMQoCcDSdovMcH6FpAx//2EWO5RAqweaFh7izd4ti2KdYHeNUoGgNf/XP//es6DE6N5hC4FSnJrOWXMplRZXciw6CTXr5YIkagoqoXkYrG5yyxAxUocgylQi0zmJtTW409SztrM5bZCbwwqW5NGniUGY5tq5pp1Paap5ksi6glUKLNIEpej1UpvAxiVlEF2Gtur5OYTJ6ZU5mFKYboS2Ul1pLZrNJcuppST2fUVczjBIMBim1djECc87RNBVGa7Q0Xc8l0uvnrK4O6ZcZJks75wLLvsRyd0dS69wybGUpnSXiumOoR9D6pPRDSVwMSG2WYhxr74+oQXb6eVJVJEBqwcbWKqONgt44kvUE0nQgkmXgSoDol2jxD7o+NJddiIqqaVBKJ6hA12Tx3uMiSCW7uXlI4gchiDIilOhAlym9Jrju7BRC0jd3IIZF5HGWZcmr332LEuA8ZCbHeUXsDXCyz2DjItZKzhx7hOF2QShyRrHP7f3rXHnpbe5eu0rtW7JiwGZ/yO7REWag2d+fMywzcqVpDxq2zl3g1JlNvn3lTQ5m91BaYKMnSMPtG+8ymd7jwhNPcunRSwyLHrd2dri7v8fP/Ol/k9Z4Xnn5JT5y6QKxmTA/nHCwN+W9G3cZrq7hYiCTMjU6tYHGYR2YTPHUE2d5/SvfQIiCE49cRK96pCmpvGN1vMLn/to/4fDNe2ys9Ml6qwglCNGjpMEISTWfMRiPQUq0SotY5YkilOcGYRIWOspAf9Rfyk6tdwQXUiim6lh4dYO3c4Kt05TGkzQKuUPUTcoMaGpkDETrkcHjfYtWESlAK08bawgt/aHm6NASXPr+BLtI2fBF3mnOpaC/yCO0CTApFVTVjLKXMW/qFNAhElFGypTia71Fa4N1LVolks7qKKetk8ClLDSrq32yUqeze3QUZdlRblzytMd0ZFw0l1PDOf2ZengCpe7nx6cbjEUKhfcu9a08S/08JNFOpCMBC4EyitFawfpmj3IgkNqjTfr+sAC6klKbRIxEJb7nTv+hLHofI0dN+kDY1uI6K6GPEJXGupTxVvRKhFIoo6lsQxlMR7FPJdPSbRdT3pgNDSKI5MHv5JCz2SE9LQmtpw2pSSOH24RyhfNnTxCVY+cADtoWT4U7us1+U/C3f/HztE5w7qGHOLh1l3Y+oxj0CSj2jmbkK0OG5Rr3esmt9fLvfo2PPP0kWsOrv/Pb3Ll7i9XhgHpeoTRo6WjtlHDoeeWrXyHr5Tz8yCOcOLEKfsb/+t/8eaa1Y91o/tSf+oOUcsTOzX1+584uutejsW3K/4sSZXR6Y2MGwfLYI6scXbtNMCM4Pma8lhM3C5wUmF7OX/pzf5m3f/sdzvRHHFsbo6MjU1nnUUh2ZSMygm9RJiO2qbGqi3RGJ9MJ/qhTpHM1n1P2ekQBKoSUNeAcSAvepRy/osD6iMgimUqpuUqACwGtBDLXxNYleEbr0ERs6/BGk5mCxu1j6xTamPfK5FpzLSyMJEFQSE3jKjIjmdaWw9kckQ1xVBSjESEkRea0ahn0elx77w4PP3aCg8O7bB4bg/K0bUDkkgwY5CWBFutBBs25E2usrhha1yBDYuItSmqPwIUASuN8ymS0wRMR6QgqE/IqOIvotCOxM3MpnQJWBDEZbQLJ4Rk8kUhrW4I3EMFhOXV+yGBFM1jxmCyhv/FpV1dC4KNHKghewuKGo3+fhhshxJoQ4nkhxMa/gjWfSqMoaesGQXe3Dsl3LLVCdiEJi2hgrTUyJknj+3PqgaUiL8EE0pkm+tTEcy7dSRtpwGTkRYHKe+R5zqivuXn5Nd7+5kvE+R5ZNSWTJTszzWvv7HNyfJoLx89j2oAKMBqMcVYQg2Tj+CYPXnqEl199k+1z57l5/Sqf/rHnCe2cm7eucePmNWzT4mxDr1+QGdXptSUh1kRreejUSS5/8+t85fP/iNvvvUIWBcppeoVgunsVQ6Byc1ZWjiGiYFbPkCpnXjXQNfbaqqFfRn7ouafYvblLLCSPf+JpptUU7y3CREqZ8drX79DTI4wU5EajTfJjJ6144tS5pk1pQM4TvE0oZ5sEQKlUDCgjCd1uF0jvl3Mt1jVkRqFE+rtt3eBssxSuVNVsaUoRMgVLzOoquSIXxzQfUF2TLOqOES8E+cJ7YRRCKcJC2EWqVCQJm906x3xe09rUH2qqlhBi6i00Fa5t0u9IgmWsrCbvh1SKtrXYNtK0cyQaLTTBN4xGGZkRZFKl0I5MIzMDC6l3SP/vxfhYxm6EHJP6c3EsXbjv3k/G8d4uAa6xK98X6bagU1ajApMFRiua4VhjsjQqjKFNxOCFw7Sj7ggZuwBYidDmA9ffP3fRCyFWgV8Cvh/4DSHEphDirwkhfkcI8eff933/zGMfdC1zv3SG9Q6xiLcyOXXTJsedtZ1pRuJaT9aRdGJgmU7z/sih9zucsixbggta64kq71Jski5gPj/i9rU3cc0uuZYoe0SMh7z21uu8efkdWicpx0NOnz5DaC3jIsPNWoRNuW7Hzp9kd/8Aax0r62ucO3OWy1e+zQtf+iI7t26ihKSXp/FiW9dorTpIg8VoxWR6j/29m2yurdLPFaE+QjqHDA4suOkhGo+QGt1LEU/9/pCqTnHeWaaxTQBb8cwTJzm5mlOWhmxzjRNnjzPYWqdxnrzs8/P/w99CNj0KlSdEmVxMMlKK62L+r42E4BKeTKokcfWWppojY0goZmLKAlD3baWJINwQXItzFhECmpjorkCR6eWZO823FTrXSC0wuSaIQN1UBOvIlE43fa3ShKbbCBaKtahl2uVIyDTVTWza1tG2nrw/SNWLlrRVS65zVlfH5F0pfHh4hG09+7v36A81m5ubnfy2QErNcJRTN2kxSxEoSkWeSYidSnRQoDMFKhK6SLXv9q1HZ4ldg1LL1KRr25RAG0Iq43W3CzvnyPJymf8A0LapnxVcugltHR9R9Dw6SyShRNZxSZraTT5SaEuagCEVKi86Fve/5KIHngT+4xjjfw38CvAjgIoxfgJ4QAjxoBDip777se/9lAJpMqrWEoTkaF5Ru8C8aZC6SNpk33HDfbqrexcQQaSucRd2ARJrk1Uz+pDufCGghCTLsqS4EwJiS/QVnoAwGdFbMkB5RWkb4lHF7s0J169PuXjpE2TjTR569FGuXn2XlUHJ8ZPb9FcGXHj4Ih/5vqd48Ztf57VvfQOtYO9oD6kKdm/dIVM9dBMZD4ZUVUVwLjm8RGoeAfgmUPYz5lS8cuUy944aNoYbFCFisJw6fgoph7x7eZ9Ll85x8cEcH6dMDg6ZNzVNaDg4nFFPa86fNPzYD57n+td/F2synn3+B7hzcAenBMXGCf7W//KP+Ppv3WZttY/ObIqPLgxBquSP7wIWyrJM1VJrKU2WoCLWQetQrcdPK6ha4rxBtC1KQl1VBO/RSlBok+AQ1iOcRYaA8oHYNNimxdYNiricczfzasl2Ux0qzR7N8LM6NcGK5MuQCIosv29XjSn9FSVTomyX7COlYlZZRNbjoKqXpJmUUaeW3PzppCbPC45tHMPbmjOnj6OzHOcTN6HXzwld5TkuFdvbI0R0ywmQ6DLmmqZeLtQUrBqWjEcp5TKGfQF2XUZ5dZj1hRgIYD6f03QjzHSD62zTVGydHDFeyyl7kiwXSNkl1L7/JhMjkaRBiMqgsjL9002o/qUWfYzxCzHGF4QQP0Ta7X8M+IXuy78K/CDwqd/jse+56KvGEYXGR4lUGodAaENAdDHACe/rQ4JjLObwi3lmjPdTOkPoQIHRIwTdGwAhRKKQ6HKIMz1COWIyrcE2KNeigsboPs70eW/e8vTzn2b7sRM8+f0P8eIL/5TxoGB1dZU3b16nODbmgUce5JVXXkG2JNPOvOK1N9+kGAwpdIHp9znYv9ct8kHHNOsQRgt3sA1MDo+48u47PPHkowwGI25cvU1uJKVRXH3323iVU9WBr3zhN/jEs4/zY595lsEgobZjCHgbGfQynn7iLO3RPYSL9M+eoQ4VuldAP2fvxhFf/rWXcXOJVg5BpFdkBA+2ayQpZaiqavkz5sYkHJcPy064sxbhAtE63LymmVc00zlKSNq6Suf5Nu1u0SelnSAs/z1YlwCZdYPwAUlKDmqaJr1HNiCRhLoltKnkVXm2DLRsqxrXtLi2IxEHj1SKIAJBCRrraFrHrG7Ym0xofcokbFzTobY7Mo1Q3Vw+UJiCyeERp0+fSNl+Edo2NRgjEikiK6sD8iLRaqL3hODYOLbOyniUPO8IjFTk3Y4qjU5ddinTDb+rAPz7pkxJsLMIwPRLC+7CSx98asBpBWsbOeM1SW8glwk5KezTLoVA71/wQufJLm0KhMqI34OR9y96phfAHwfukYAiN7ov7QNbQP/3eOy7n+PfFkK8KIR4cepaULr7IdMPKpVBdumeUaZz13I0IjSItIAESU4bg1h+MNLzp0y8ZGm8X+ZnWsM80swC65tniVmyLpq8z0T2uCMGhI3z/NBPfpbRaslXfvUf8zf/0v/I2rETPPrMkzgU68dO8pFnP8rnfvWXuXN7h0cee4qV8QbrG1sU+YBaOI6trfP0DzzDvd09vI/dDtqj6LrK1lpscPjQMOqP6JuCo50bGGnTmTiTDPOczY01RJ5z9vwa7sDy1tde5fk/8CSf+uEnkCJS5CX9oo+k4fFLp7l6+RoezRM/+DGCANMrUIOSv/hn/wJ2qikzGPVKcmlSLFfTIn3E2xrXpbVaaztJaljukj5GXOhixDoeYZZlKZMukppvUiK60MlFoEqwDt/aLqYsLfbgPU3Vgg9LtLmI6XmEEKkaqGpC1WKbdslTiN1OubixL3gLUcikDTBpJFs3lqr1eCEwZQ8fY3rdM4n3Lu2mtcXFwLxOlGRJQqKtrq7SG/SRWrG/d0jjLK1r2dxYIYq4TJMZjIccHBywu7tL0YV1KCmWNtgoEqfAhtRkTuf1FD292KBiTJvUwneyOKYmy3jCwKWRtGM0zukNICs6622EECwiusV6Wv65yAgUMkNmaS0p+fsr74np+g+AbwHPAWX3pUH3HNPf47Hvfo6fjzE+G2N8tq8zglTUtmXetEShCAGqqkkZ4W2bmnkm2QMX47dFwOSibJJCE13KCNMdNVdyX62nVJLzBt/iXIMuc2obaF3OPPRZffBpLjz/GczpMa9/8wv8nb/yV7n29g2U6fPYw0+weXyby9eucvGBC/zf/+ffpZ7WzOuGYjAiG/S5dzDlJ/61n2QyOWTt2DFWN9fJBz3qeo73XRhBCDRdmIdzjso1SQAzb9gcCE6sFWxvbTCvJpzZ3ubc2Qd48NJpxscKtta3efOVG+zevcxTT5xjNpvRNJ57hxOkbsizxF/zOqMYafKVMV4J3KylPQxk9ImuZWXQp6la5kcTvE0zYWeb7hMgktwzLhpzbtkYTWTBbpecJwAGQZArSVygn0I65y+IrFmWLT/YUibDDj6g5f3QUGKiv8oItm0JzpFphYgJ24XUFIPhd5JkfAqE1CIdQ5ahpUrROM+scdQ2LsUvQiyaXJEsy9PNrfXMptPOzBLx3nE0nzGfThmNBuislzTzuWEwLFP33bquKlJoRdIF5PcpTsYYQkyJtMgkMEtz+bgs9wPvX/hx2YtyLiHgF9mJi01MKEd/ZOgNM4TuYJsyaVASECa91lEA2iC1QekModLmiNJE+cGKvH+RRt5/JoT4ue4/V4C/yP3y/SngXeBrv8dj3+NJUxeyLPvkRQ8XInXbIrUmCIHSBV4I6jp1lBEBbQRSZOSmQMf0CykREx1XSHybyrjQ4YskgWo6S9ZdpZHesXf9bR564qOYzYe48Mk/wM7ODq9+6UXC3QkH7+4x8itsjzf42T/xk7Rtzd/6G3+Th556lN/48hfZ6B3DiD6PPvEsL7/5Oh//8edBG3Z27nD33XeJ4wFf/80XeO4nPoPKFPNmTutamqpKKa3WY1uHkJJ+oTi7NebZx85w6eQ6k50pmVpjbXON02dOcuH8NhsXVnj4uYu8/MaE3/ncm1x56yYiSnzt6JnIT/7Ex3j91dfQRZ/Vh48z9zMqLH6i+A9/+r/AZJvgpsgIeR4pcs+w1+9GawlECQmvvMA5JUBjpJ5XZFGjY9pt27pBExkYQzufUR1OENbj6hrbNonx7jyhTWIX26abtG1apEjgE+ccVWOxDqQXED21m+N9Q4agqWa0k0PCvKHolQy2N5jM5t1RoUvl7XZLQUDGJH+t65pZG5g4TZAZeSapqim5NqyN+kwnh7SNw4YaYwzT/TnFypDJ0QxouDe/R1vPcdayfzTFBDh5fIP1Y/3EWdASjMQUgLM08xnz6QzvLd5bnG0pjUFLQXCpZwGpCy+U7GTgAXTy1C+MTIKE+bahBqOYtykARCnLsa0hg3WJzEXqI+DxrUV4hUAn6Kc2yHyAzIfIYkA0JlGkROp3hN+nOOfngV8QQvwZ4BXgHwC/JYQ4AfwE8HFSyf/F73rse6156tkcnWfYNnZ44MRz994nKaWtUWol+eObFu2z5cjDO48wghThI3G+RXfljtaSdpFNLxIxJ5WKDjepMHafk6dHvPrmW8ymLU6Cmc0Zr25SZBOm0yPaxvHyG2/w6BPPcOP6Hc6feZB333qH1fUtekXJkx95gnfeegPvWnbv3GXYGzLcGLN76waPfuQSO3v7SY+vulmuTLiuYdnDzmu8DMzJeeWVtzk13iYg+NiPPItmSuHv8PrX9njg4xcoRz0O5ge8865i/9s3sSikhtXVlofPrnL3rRlBCM5/5GMoHcko+XP/6X9JqMGGBiMNVTVnNBpwV4JUC+5gRKj7Ca2L0V30gSjT9zRN0jzkg17XR0g31+g8tgtg0HkCN3rSBmSEovVptwrWd2f6joPXhZNEKZM+nAgRjOqkqXWLm9QUHryQZEWOcxapBE6KLjVXUs1aAh5lJPW0Ze48B7XlcG7R+ZhIih2XIn2uiIG8MEznibkwOZwCUNc1w1EPowVe63S8lJZ+L2Njo89gkCGVo7UOlS/Yi4uGYirhE+Al0Yvc+xp24BFS4mNCV2U6/Y6R1JwWQiSHZwgJi11bFBKUoCxTiKZUESmT4EZCcpiK5KEXUhGEQakM9P11kcQ6Lh2FP1ib889f9DHGe8Dz37FohfhU99h/G2M8/KDHvtdVFhlRgCkybPB429ArMqazGqU088qmiJ4YiTF15L23aHR3jhHLEAFj1P0SyfuUOdaVUjFGfIyYMsOGGVdeex30gN7WeY6dOIvJAt7VzOa3aELDuLfOtZu3qayl9RHXeN5+81VOnn+AzY0tbl2/xkef+hRvfvUaw/GA+b0Jg40+k9kEaxt2d+5gu7JwNpstGX9lWdK0nvHmFo095LHHnuHgzhWUqDl7YY0f+Pgmb7zwDjQl/+Dvv83KN97m8GZNtjLk8u4RWdFjdSPHVwd8/2NnibOKLB8xPr9O71jB3uQuX/zcV9i94ShESRsCkTRWC64lz8xyzNm2oQvqlOR5Lxk1FjZRIZAomrYmNz2kTyo57xxNCIhO0ryY6WujiS6lB4cYEC4t+OiTAjI519K5dDQaMW/TADr4RJrRCwSaD2CTXiDPNK1IH+Dg1P0MAxfQHWWmaSqEMcysZH/aclg3qDyipWBjbY1cRaoqMRlkwqfQti07O3spL06kyUE/14jScDiZ4rxgY33EoGfolQrolHm9PPEXBLimc8RZu+zGJ858au4KpbA2NRhDCIQIioCQpD6GSIajhXEnhNTctM4jpGO0OmS4UlIMuiDqTnaeJh0SHwVGFXijUVlO0J2Sr5teiQiRdHP4oOtfSnsfY7wXY/yFGOPt7/XY93iCdIbznhiSZpsQO7EOy3OZUqLLj9MpqbZLBFm82KnHkzquuvtQL/zm1lrKokfwcDQ9RKo+cnCS9YuPc/zkafT+HeqbbxBvvkdz6wZXLl/m2PF1VtfWuHd3ygMnz7F2bBNmDY8/9ThNNefb77xJyAPf/N0XeOuV1yiKDDutmB3Mmc8OWdtY52svvMinP/MHQZUU+RDnIltbx5NYp6m4d7BDmWfU9ZTdvducOXuMxy+dJXMzTqyc5mCuefLZH0Ay5O5+xcHE0h8cYzYTnHtgxL/1p/8AZ84e583LN7lTN2w9dJY3Xn2R6998j1uv3mBACa1mUBhkbrFty3g8Iss0WXZf07DQkMfoU1KLc/fHQSF2BqdINZsnmrAwRJcAJlLq7vWP1FWD9YsoZp8WeUixy/WspprNkQiG/RIhBP3RkN5oSFakc7aWUGhFRkAJj4gOGR1llqqPajpDuIB03U2hblJz0Hn254F9q7l64JC9ITKmc/7e3h4i2i6NOCGt0rhLcufuPaRSHNs+xmjc45GHzrMy7nNYNegso8wixzZ7ZMqiVUaWZUhNCtNsLS6mRetDxPmAD+l1iJ1nvqmqrjGqyPL0OxLSYrSuvR/GstidfQowUVKwspYzWDOU44Q5l/F+CKvWhqg00mREo5GmIMgkdte7aAAAIABJREFU5Q3BE6LD+wbw79Pi/97XhwTRSBJFrTWSSHQWJSKSgCKVNLrzwWdZqggEsmtidCM6sUj6WCTUJphGstcK8rKXKCU6R2Vjsv4qDz/2EQrZcnTnCn1pibJBYonRM1hZ5ahticZwUDfofsbB7g5GCm7dukXZLzna3+fME5do702YzSqKPGdlPObOe7dSRzgrqOYtx8+eQmpF2Rtx/tyFFCIZLSeOr+FdhZ+3hGrCv/fv/xkefPRB/uHf+yJ/9+9+mVd33uFIzvjlX/0VXnzxFfYPa0olsdM5AcvP/twf4czFbbYvnOXBp5+EUcZXv/5NxvkGHDS8/q1XCFWDLjXCtYBbdoo3j63TtBVFUdDr9Zbz4hTFnNh13nu8c/fVYjGm4M6mTQ2+9C4k8Urs4pZg6d2WMp1jkxml61CHiFG6222T5VlqQdEviD7QVnOqyRHRO4wCmhnGtdC0YNN0wbtkiW3rZG31MdCGgENz+fo+9+YW5yPO1miRIBlJ496QABTJ7qpkzu7+ESozmCzn6OiI8aiHtSmxeD6rGfQytAkImSqf1newSh+XEyFgSb5Nmvn7zePAfeGNex8AZvH6pNfoPqrduoDWGQTHcFRQlCkxJ3SEHdkdW4NIlRNSIzoiMovJVacMjFElxo4yCdn1AdeHlmWntaSezlEmS4GUwiOlIs8i82a2LInbtqUIRXJnvW9MEWLE+4hUyY2U1F6GINLdtHWBsj9mvD7g5LmHUDJy9+brzHfvMOgNmc9nlGuniFIxvzcly0a0R4d4IRhvrpMVmjs39mmFpz6ccO9oSn9zjdPbp3jzt79KlhfcuHOb8WgT1zhmhwesHj/JO29cBiPY2N6kOZhx584MgPX1Ib1ME6zgqA4cuJa//Ff/Ou29CTaMuXO94ZPnn2FQBER8dxnXpUrBnf0jfBGZzfcZ5YrB6hixKdi4dA6ylvbwiN/8/As0MxAqCVv6WUGuc6rZjLZukETm8zlxpVzqG7TW5EYvO/YL04iUkiiSGIqOXZBwTr7DMwukTl+TUSZoDPedjwlymt5rpZIE2WR9KtsyrxqGwyEhCqSAdlYjMmjnM1w9Q9oeszt3MXObmoVKkkuVOIgm0WSjcggB197b4960RWV9pBIUWeykv5KiXzI/Svz+tm3Jsn6CaMxqJtM5ZVlwdOQoC5NGpnlJ4yqUjKyvjtBmTjN3lEU/iYEWhGZrE8yi24CIEikWeQzp+BMCGC2TlyA4TDeWk/F+TNV8WiNJ8BfnUyR6UWqyUoBOiTUx+OV6gaS5j5kmdPtfCo1Ja19KnbT95HjPMrDj97o+pJ0+3QmNMSgiZVksdcwQGPX7FLlJGWNKU/b7SKmXZ9IFGuv+84llSe99uhkYXVI36U770ktf5tWXXuDu1ZtoBVa2WAKZFUSVcXgwJdQtZZTQBoSPZArWBgO8gP3dPYQQPP/H/gi3Ll/B+khvMExE1X6fzc1NJjsHXPq+p1kZrXLj+rs8/vRTWGuZVXNOnznOfHpA2TO4KLAobu4cMVg5hTdruF6fH//jn6UYD/nHv/w52tYRg6YsNJNpJGY9to6v0B/l0Dcw1pjVnCAajvbv8ff/3ud5441dbOtoOECKJLipZpN0FjQaoSRra6tolbThqez0y90o+SHSIs2ybLmLAMvSVQixPBYoKZchiiIky7O3jrxXLs+qZVmijSRTmmo258VvvMI//KVf45c/95vcvrVLax15nhF9y2Rvj/nkCD+fkznPlddep5cXafLhfddAdNS2TRRl73nnxg5HVUPTRTwXmSY3WfoZY4JLJniqwWSKqpoRvMQ2KTPBtpF+vwQCRVZQ5obVlT5ZlrzuYmHPtl1SUqebX4RDeheXrlCl1HfAXWbTOZAIt8HH5c690OwvFHmL0aMQHm0iJktUKNnZzzsLXwoy1QbZUaJ8N1JN60AipAFh7sdYf5dH5f3Xh4PA9iElrSiVKLe2pTAGpQV5T9MvJJuDnPGoj+llCZOsizR+E4ooJIb0wUvd45RCgkyGCG1ylE7587ODXURVk+kkZTRIdO2SM7U6YnLU4iycPnMMHxoG/YKm2kPGlnt7u6jaE4uc8x99gvnuDq9942s88cQTFL0e549vo3JNDI5e3mO4UrCxfYy3vvE6py5dZPdwj6ptaGYTNJLJ0Q7nz4yJ1Q57d+a8+dpl6pjzwIMP8eCJY9x74zKGguFohdW1AXMiQXp6uubf+ZM/ia9n5KFCKPBZSd4f8Ff+0t/hd79wHRczYpGTmZJc3G8eii6HLS8LFJFRLyfT4OqKaC3RJd+87CyizjnapkGF1AFPf7/FZIroLd620Gkk3t8slTGSd+EMWktMntBboVsoIsDG1nEuPv4RHr70ON7Bzp0D3nn3GpO2QU8i997do92p2XnvFkZIylEv/T886Vzcia7yPOPeJHCnkoSsoCgyvJCgDc28ISfQK8vEms8lRmp6ZUakpZl7qFp0LmjmHtPP6Zc5zaTi4ol1jm/laCJGlHjhEFnAR7BtQITFqC3iwn0VnhCR2rpOyJPO+nmed7r7Nm1IwSMkqVcSUqKOj8lso01ktGLoDQRCdkIpkSYAQQiiziHrgymJ0qQjrTF4IdMURmqiSMgzIZYS/A+8PpTyXkqJUYK6U90thCAyphCLvDBkJPyS1GmXilKkUkakc07TNBR5kooiBFIIZPRY50G45Of2FkJFJgMCT9ZFHEmpkTq57vJccy1YDmZTgpY0do5r59y+cYe7Owc0BzM2z23z0IPnufrKa4xGKxzNKzZXxrxz9R2e+ugnGI0GNNZT3Zty4uELTF6a0usXqeqQlts3bzPIFT/zx36CuzvX+dwvzbg2Ffg4YGc25aefusSv/OLnefWlV3DCs6nh5Poaw5lk9Vyf4yfWuHf5ZdbsGfZlRK42zIczvvqLLzC5Fakay+baCr3VAfPpBHc0JdMZUil0nlH2e9h6RtXUxNhbxiYJkTjxC8GTlElksxA15XmRPpQy7XxESV1VZGVBUAl2kiKUBdoYqqZGaEVAILVG5ZANBlRNi46BU+tDzm8XSOForWFuDFIcZxI9h1nJ+rFthuvr7B3toHzqJWRZga8anE8hIBHH3lHFe3sVUheI0FKUfQ6PjtC67H6fFikhyyWz+RRBxMh0KBYh0nbinvF4jA2SjbU17t69xXBUUPYKvHdpA9IGpSU+JHFMcAGjF8ch0ocRkSRMRuN8ACHRWi5FOEqAFBIpFK6Tjwup8DYJi9LIVJAXicaTNBMp1i0pUGV3Ru/CXGLa9KSQ8L5UHCGSgzEFen5nJfzPrL//T1b5d10xRhrXEGVEGbMEXdjg6WUGpST9QY7JNVmRJ3zW+0dw3iO7WOmk3pOdVfQ+J990ggmjNYuoq+TZTww+IQRaKXw7oSxL3rxyFWEyyn5BpnJuXtthb/+IvXbOJz/1A7z36mtcu/wOqxvr3L56jfl8Rt4bUtmKyeyAeweHfOPLX+P0pYusb53k9u2bZGVB0zSsr20lwISfcOFczmc+/QytrZnbgO5nvPXWS/TzAl0MwEiefvQC504d42Pf9yTPPPcozz79AL6a8fbrV7h24xZrD5zlwYfO86UvvoMTPUbjVXSesb6+ns7pefJrz+pkbNFZhgsBkyWm++LrQqv3mVaWeapdCSu7WX1q+EWXHi+KHnBfSrqAQYaQghmWX1OSmGnK8Zjh5iamP6QQJWFmU2+hVFgJ9ErOPvsUD332R1l/+hFmOoKziNZhgkQFkZpSehHmCEH2efnybSrrUUozmyWUVV3XJIhXpOz3Uqfc+iTHNgqtUoncNDbx89qK6D1b62vkOmCUJ8skQiaKz1IOLAHS7rwYIy9CWBafK2f9slRf/umSVHdhn10sxthNolJkVkApkbIYCk1ay2FZwS6OtbKLQAvi/hkf3r+Ak3yX7l0M/j467ruvDw2MGQWYLAMEPibCa2YM3jqKUmPyDJmnNBBV5GDSix9DQBK6o07KvbO2QSuxTBgpyz7tpEIKg3MSVaQmjo8ijVdIY5O6nnLi/BnMiubXv3EVK2qmE8vBYY2tk4f7Mz/3M3zzt77I1es3CFGyUY4hRkw/Z3NtnVt3b7O2vUaxusErX/wKTz73/fQGfdZXN3jmox/n9W99vdvpDLev7zEta6p5g5E9hmPNuUcv8NYbtzm1XvIjn3gakylUZtm4sMEDj5xncvs2L/36l4iTwPGHTnD2k4+wfmqdP/tzf4Fefx1lNBkeJSW3b96g0JKQp+yATGi0Tt3uyrUdPbehMHlnr007FSxEOio5GxeSUZU+0EpKHL6zcDpEsWAVmLQwpEQsqgG6XIPMYJsW1SuSgSfTxHny4uveCqNHzjE4tEwPDzBbJX4IzjUYBUYJGp/mzS5EnLPYNolbKqf40suXmche4iIGu7xJKQFZbii14L3rNxmvrqDI/l/m3ixWr+w803vWsKd/PAMPh6oiizWqSqVSWbMtS/LU7SSdIB3YzoBcxegOgiR3Qd8kFwmQRnLVgZNGAnSCIHHH6cSw3UHLg2xHlm1JlixLKqlUkko1slhkkTyHPOM/7WFNufj2/7OclnQTBOwNEGD95Cmcs7nXXuv7vvd9Xup2RjUaomcO7SP7t084/9gW1WDA6UmNSZ6dacH21JJpwU1pm/XafkfoiU5WZZswFel73F/AHnotvSKlfhff7Ox6M2Zes/FSVD3pp6EqDcVAkXCAEdeoUUQsKsvA5mBM32fpR33e9S8lDb3lll7Pn5RCmx+tvX8w3XsSISlyI2/OEERH3HWdBF/khmIgFtukBZmVK4uKEWNtf0SXt7A2Bl0YVPAkABVFCqkinQ+bgMo8z4guYEqD6RNItvfOM946x2u3bzAaDymritFwwtm8ppoWPP/JF7ApMjs7I9OZZJGlxGiYEZyjGinGNqOoCqzRaGtoT2ZElbi3f8zjTz3J8vSY5uyISZmzXGa42vDqq3d49Moeg6Hhre+/ztBsoQclDz27R3O05MozT1PuKmzu+JPf+mdc2n4EV8G5DzzJzvuu8E/+l/+LelGAbimqMbpdoEInkIzcUtc1znk6DylZVqsahaGohiTt+uQVC0rAovTiF3FtJbTJMZkly6RrHkLAZDKq0hqyLO9nzFG830DqIYQ69Mks/UQgBo+yhuA7UtVh8gHZuEJfOEc+TXC9xmaizY9R5LWqS5iQqBc1hS1AG4L2pKQ5nkfeubcgZBNUlBAJk8mLfzId05ycYjMwWYZzHa2L5MbSrFaMx2NW9Ql3949w7gom74m53YrJ0LCzNUSrIMGdKkdp8fujFQbbT4kMRKSm10AvmAGNtWYTMLkWZaUIa3mcOESFc6iVxfsOS1//W+QXCY+UXiYriNqQWTGYCWNAlClRiSIVJLxFTvO6/6bYeAN+2PVgUmsTqKholisMCqv0pvsbvDR+lsslRVGB0u+pW9bZYPJSWzeSYpAHxkeRRGqtCEgKZIgdKgVcvRIlVog0ncerjJ1LV/jOK29ycjbHkCAGmrqmbhc8/9EPEKn5k9/9LMcnJ5iocK3H64gmkNoWv6q58fpb3Lx2g+tvX2Nrb5u//LM/59z5bQ4PT6jrmvF4Sp7n7F16iLNF4OC0RefnuHf3Fm7ewMKzd2HA3/43/2VQjqeefoR8xxIyjV9GtgcTutUSkyJX3neFb3z+6/zpP/sO7nRFN6vpjgXl1a1WeFdjNWSZ2dwv33UoDKPJlGo0JLMFqn843/tgiLgjkGlD59p+LtzP35Uiuo7QOaLzxK6F6FEpQApCpemNM+sdTfVNwKQE3KiNgbKkyxR6OiRNKtKkohqPZV6fgjjn8kLGVc4Ld7Be9V34SFKRr37rdVpKOeH5llXTyLE+RoFqBMfO9hQVPIaECpHQ1jSrGc1yhlZweHAoyr+qwvSGmb1z24xKRWYguG6zg2vVpyIj8/h13PZ7YZbiABQwjPedpNkEMeCswa7rEmozGpVEFrTWWCMIrqjujz211hLw2QNmMLp/9vtfau0uVfcb9Un3xOgfXc/DAxTnAD3zHrrW03WOvKjkoVUZCk3nAxhBZ5HEPxdTh9ISeKmt2dBVtdYYm4QVpoUtnmuRN3rfon3ARM2y1ZjJOZ5+4cN8+5tfp8oVLkT2prsk51i4JT/xyY/wrb/8En/6B1/AzVrK4YjdC+dJucIHR9c1hLZhfnyAb5ZkJJ569FEObt3i3PY5dGYZxoRTiaeeeZ67R7f55Ece5c67N3nxxdfYv7dPHh3N/IjPfPwJPvP8w8yvv852NSAOIuMrE/Z2hvz5//abjFRF0obJsxf5p7/1Wf7Jf/vHsMoojObqhS1yrbARdGrZKkZsDwcMBzJRyFUkdh7XdXTeUZ7bpnOaEMWx5boOQ/8w2rxPd+0otCX1WPL1C1crxaAqSNETW4dvWvAdqhN+XGodsZMEF6MEWda1EbQVTn5eYmzFZHsPUw7ReYauNHZU4YOhzAZkJqNthJwUkqLzDtOXeHlecBYMt04cISWSaymKgqqwZEaJKScqTISuXaGUYVV7XGzJK4U15eZkWPsopqHcQtPSNo73PXGBaSUOz6zI8UbhQZp+Pm42nNiXl7I4+6ZZ70TUWpPbjK5tMFqhNAQlTIcYxQkanAciUYyDhODQNpHnRhBgqp+/mwKdy4krpdCTiPoNz2Ybdn6MCR8VCSv3RQlHUdj3P/x6QPn0itTfpC54MEbcdj5i8gwyRdO18uZs7wMxYro/31zXn2JeEPyw1nqDvCYmzJpV5gKtFqCBroY8/MQTvPHm61jfMB4PiSjatuPq1atcfORhUIp7B3exNmcyGnP5ylWUNezu7FEUBQeHRzxy5QplWTCZTLi3f4ez4yNWizm3b91idbZkMBjSRocvEo899zg6rbh24w3GF3e4dXLMC8//BB/9wLMMo+bwdMbCR7LhEJ9Zhrbgy7/9OabVHnUIjC5M+elf+Hk+/7lvktkKnRq2p6WEJVhZoEWWQ0wsFwuqSgIcNIpBmZM6afKYPGO1bOTrtEGnROrpOcIp7PXkBLRClGq95VNrjWtaUcZ1nqZxdDUCcHSK1Hl8U0Pv0lNJJgFrQIQxhrwq6SK0ypKcJUslXR1QtgItttzYE2a7ZUNySYJQgMWy5fbhAq/Xo0I55TVNg9WayXiI7xzjiRCKtJbGYtvWQvi1ViCr/cy7azqqqqIqpNk6HhZktp+jKyMhIr2JpixLQnQbnUKRV5tFt5aGAxsPQ7aezYeEtutSyOO7bhNFvVgs5F6rJBx9ndCZVNvKGtC5eBQ2s3g2pzd53aj1mX5zaWU3KtUft9s/sKhqtCx8gNhHBbvgMZnMNoui2Ege78sYrdQ2CPt8feV5juqNByIndSSizJj7XDzvIo1LPHT1CjF5dLNkPCgkGLFuuXjpEqfLOdeuXePo6Ii6biW3vqlZLBYsZ3PKsuTo8Jgrjz7G2XyGUpqz+Yy8Ktm/c4cPvfA8+/u3+eYXv0LbSCzT3Ld88JMf5zd+5/c4azXv3rrL7rktPvjcw1x+5irFQ+cpRtvk4xxGmurSlINXXufsxj1OjheYUcXzn/kYn/3dPyJnl65z7Ewslx+eslg2tE2Dcw4hBjXSbHMelaSWjV6glsF56oWM7daAkjWfQE5KvXveqB4wHMh6aa4BVP93QdDthS1QSeMbIeMYDZnSuHlDFiG0DUVfFiTXCMwRh7KOsghY3aLLxPCxS5jzW2R1B2dzipgkMaZ1EBBWvE40GF763tskBXlR9RODQF7c79rH6BkMBqi+M75m1IE4MX0nP/vR4Ql14wm+/5mUx7sVIca/Bl9NWm2kyiKgkUUtJiKFdwnvghy11/HqfZdfdn4riLd+c7LWQhTZbZUP8F2gyIXuLD4IJfp6Y8Hm/3xdvjm6358IRLTYddcYMSQB6v+Tn/7/jyslmC/EFprUOkq4b3T07qS2bQWppO43JSKqh2gaXCfM9g2OKt23F8pnrmeNJWxWUZBjBgMuPXqZ6y//gNTURAIhadrWce/0mDffeovLly+L2izLpAu/u9vDJSLb27tkZcXDj1xm2XaMpxOKQYXNs76e8zzzzNOsZme88YPXmeRTUgd2cJ4TfR597kkSFT/53BMMkuahx/f41C/9DS49f5kPfOI5zl/ZJtMtn/vHv8Xliw8zGGge++ATqPGIP/rcV0itKM6mo5xLe9uiwiBtYrsT4lY7t71DCh31SuTMy+XaAx5YuZaIZrWSBznLZWwXohNSbXcfTdW2Neo9Bic5eAIkYlihWOHdGc7Nif2s3yffN8ISrWtIeAZVTqEj2eoMfXxC94O3mX/5Wxx/6a8YHh5gDu9w+LWXOfrWq7TX7sDZitVsyXK5xIdAGz1nDRzPpaRrvduMHaMPVGVOcCIgWq2WlIOKzBpiCuxsbeFcYDSSEV6eZdKrSBkpBE5Oj9jdmTKoMrRZl573j8d5nlH25qA1bNUWJX4tFjK6pw35Hhha0HQOF/zm/5FSIBE3L9kU+k0sgU4Ro3swBgqlM5LJJeatf3GgxUMf+2adUn0ZoNXG67Ce4qkf56ntrwcTa5UgKMvJbM54UCGdT+Gvh84xKMZoDDYvsFmGyiyqUJJLr+ljqu8TSTLdjzOUGEKydfqnNmiVU7eR6faE5z7+Yb72pS+RLVbkO1Py7S0GOxdYvnidW/unVKOcg/3bXLhwQd7KWuNah80FMvjaa28AcNY53vfhD3LnnZtcvPQwi9WSo6Mjbs5vcu7CeT75M5/m5Re/zeHpGd6vGIwKPv1zf5vFvSNUfYNPfPIDvPzGXa4GqKolz/7MC1T6mHDQ8vu/9j/x/kvPcnDjgOnT5zj3/HP8p//x38eyRVFErEqcHNUcH80gyQ4bVMT7RFVldK1nf3+fwTCnXjUUg4I8Lzm6t09ZlrRK0SF9lJSJ3bSoZHzXdR25MmCgaVcYLQ96oa2MqpKUTmVlWS5bbt/Yp+s6JpMtsqwW405uCSFCFJNM8IHj0Alnn5zWNcSuY3c8JobI0ZsHhARvv36D8faUrCp46+YNiuGIy1cfY1gOuNt5PvuFL1EzIiXp9IuZJ4CJWB1RJKoi597xEXvnBqQUGA4HHN+ds1h07I0LEo62DRQ6ZzbrqJcNJydH7O2NGVSKmMQa23gnIZ5RpkTee7yXMmh9clxjrkIMSKBqnzaj7kt/1zu/It2XxYrQQFKcgKLs5eZKJOEmL4nWQlaQkrDt1xsZrHmQiiTnXZS2wvbrj/6s5bs/5npgCTdJmR5cYO/HSWtNNSwJGsqy7P+qvAx8SGAMOpNjy1qQo2zWd+j1BhjoXRTCSIz4aDBFzod/7lPMjg5QdUe0mnw8YefCw7x155DgPaPRgGeffx8vf/8Vbl2/QTkoaDrhu+1Op/j6iGXdMhqOqQYj8umIcjRkcbZkur1LZnJOZyfc2b+L0pZP/tynqFPiy1/4MlE7jt66weWdET/5089zsmi4eMFw7soeiy5jSzlmJyu+9tk/53x2nsXJCqqSKx/7CP/gv/ofUM2A6daErAyc3T0jLzWzeYPC43sFXYzSOW+alnFeMp0OuHcox9nZYs6q7WhbR8oy5nXDdjagUBYfEjYEsrIQJZvNSTERgyKz4przIRCtJityIOJ8pKkDJ/dWdJ3jnTfuYKxie3vMaDiU3VBJX6VeLPG9Smy+aBiUFYXJGcQB0QQW/pQ79445O+volCFvO7Z2d5hub1EUkj34nR/cYBFkVJuRJN0leKzOSKmlKkp06kjBs7U92URDbep315BXBaPpmGUtTr3T2QKLZTAo2RsP8G4B1mC1xfZH8S69F2MF2mogoZIguZ2XHTshPSaJmxaNQvAyUycFUc8lmSoRJAJr7WBUCrJc0N8yIrSgrAhzUL03Pt234tITcZNAN/oFhU66b2rfP/H+qOuBueyazpHr+/lp6wad14pBJR3rzY0JnixpkAmmSHG1NPJijGirMVHj+5FfSnKzjC1RWccHP/FRonccXLtObBq6PGP36lVmy64nk7ZcvPgwr7/+OvViTts6hqMLTHa22L9zh67raJqG6dYOdd1SDAfsHx8ynkzxrUiIq2qIySxdVKwWS5F1Drcp0BzcOqQ7W5B2LGfHb1PVcx6eRC7aZzBXHyG4U9rZipuvvMWVrSs0+YInfvoFLl19ku7YMygrSgtN24kqLDWcLhpKa+gwkgtQFn3jSdDM5bAkszmoDNez5JquJbeWqAKLVYM1OZNRJRrwfgeLUUi2WT86W8+eU9DYssD5VqhExnDp0gUG5YjjwyOWqwUET2rBKIvJM7TVqO0BIcoisZOISWDRrLTFFiNSlnPpsUe49FCkredM9sYsw4rpeECymto3fO+1G3Qpw+iIIaCSonPgXWRQaerlgu1JxenpsWwcBdIjcrlEmKv8Pq8ueoiW09MFrusoypy987ukVQ151otcdK+GEyGN7PCeNeJeFmDEWIhOaDiBiLa5RIL1pZY2CovZlAXOSQyY/L7GaEWWSTIt/QRFmYy4PrLHiIin7vP2ADCaTFnJjECv9VXyvQHqvuv2h14PaKeHtnOoLKN1AUXCuQ6jC4ZVTjSgrOqPPesf2G7mmpFINOC9oyoLfBcwQUQNQUeUHpCCYek7/vVf/Xd455WX+daffxUbEqPRFlff/zSpKli9uc9i1jGYjDk9nVFMJuyiqLsVt2/f5vB0Th4tZgd09Fx+/DKvvfIW491tzu89xP43X2OxWpFszqDfBS+e2ybWC+aLM975/hv87Gd+gT/+0l/yiz//N7mQHfD8uUDcv8H8bsHLn/t9PvUf/l2+//3v8qXf/j0ev3iBpq35xK98hsHDe/wX/8l/ibXnyKcdwTms1gSraJoENsNax+JsQVaNGA2HpOjRlaFplnRdJMshaIPWOSiLawK2yFn5ljga0qrAyju0C30MVSR4h1EK37UbSbMtckLvtNPWYKxltGUpSk2zWLK7U3FxdyjOsMaT+t5Hd/1UAAAgAElEQVTWaLrFUit0MWB84SJ6ZweXIuVkRLG3RTKSENsenTD75qs0oxw3hL2hZXHcsOw6fnDtlLPWUOUFWkVsjKQQ0Mlg8FhyslwRg8V3gZ3dEiIM85JBNuQk3mMwzvABhlWGVjI/T84KV84o8iKxPFOUg5y286RM41XYGGJE/6HJ+uO9cOuEhKPXoZOmp/eqrPeS9EdxK3p5UfJ1RJ3RuhawqCQwDVtYbJXJS8cW/SK530NRWqNQpKRQxkDvmze2hGQ29ud1xBX/IkI0UkpMp1OUlhEKRtRHrfMSQx37jnPwG4uji6HP7e4ZbD3yqOs6sIbaQlAFKY3x5XmOGbD76OPcfPsNXvr6N8WuanJUNWA43eLmOzckSEMXrJqW47NTHnvfU6IGXCvOfAJtsSYjK3Jc63FtSzEa9Ehrx403rnF2corJLOPplHnXkLKc5UnNvGs5uHuLD77/MaI1NKmkjRWZzli4jroacuYC3/mDL7Knp2gTef6nnmLn/Jj/9b//HY5ODVbLScT1D1YXPGU54OR0ho+B0WjS03ZF0x7CfW/8aDyg6zrm8zkpJYFnaMXh6SlH8wVt5yQaWWmazvVNI9Or69RmROQ6cdZtiEVr74K12CInLywuOkLyqMpAJqCMtluSXEtV5pjkieoUYxcEf8zZ/jvMbl/HNAtU2zD3K5x14gfwnqg1gYJvfOctoras6oVo1ZUSFZ13gKS8GAWrxaI/MUpZUQ0KVqsaome1XDA7nbO9PaYsC1nEIeFCZDwd4YPEpqcU0EUm7Pv38AXWZF8h0oSNxVapJG7Ook+0LWXBrqm/Sgnhbs35X0+X1mvAe1GfKsMm2YfeJ5JS2EykNkf7NTRGmf7YDyjRDWiiUIeiR8WA8vH/vew21wPT3q9WK4lPCgGlevOBlhuUWYuOSaKLFMTggT5UQN8/zmzmlkoCBa2uRD65s0vR5agm8tL//Wd0XSDD4jLFhceusDUZceutFU0buDvzRBSjc9s88czT7L/+OrffvcVwOGZVO55+9oMc3HyH0WjM7Zvv8vjVJxhOJ3TdnMm5cxTKsFUOuHH9HabDIY9/4Dnu3LzNuZhjipK7x4dYW3DlmWep4hKXK07bkpld8PzPfwa1CjDzDPcGPPX+h9i9eoHf/eyX+faL7zIcX6RzNTklg7FmvhKoY9t5golk2mJ7LNOyqdnZGlHXK3SmqZsGm2cY46jrmp1hASrhfWI42sInDf2ulGvJCWw7h+nHXDFEMc0gOgjdeXQeeuumhC0qZbAmJyiBUHSuEW2+gmo82FB0s6bFuRN8NyCkSFUOWR2dkRU5h3of5xNpYMkr8VPUUeESfOPF1zhzGU1oJZBRJ1rvKZQlzy1ZStJz2T3P7Zt35bPcELpE07bs7u4xW8zYnk4kHCMKJLOwgtd2bcNoWBHCiqjkeB6CvFiNM5vOuEKR5YYY2BCGYk8TtjbfmJbWOG7F/UUaQ+hJw70NvA/08MFj+gVtdCaxaxFspvEpoVJfJmglUExjJadx3bTrE3zXSHEpkwMpehFV/XNZOPevB7LoFaq3FQacEt2069FIRI8hw7uOrl7BaCxcewUaIzImLU6odShgDBFjclKIqNAS67vYZs7ta7eplyuMGZMXJVk15MLVy3zv2y/RzuaMz1/i8N13WC6XDC9v0cWGg3sHIkX1CWsyqHKaruX5J36Cb3/vVUajAVt723zrz75LfTwnH1TMT08Yn9vizVe+D+Ochx+6Qra9YtxdYlBWdPUpT1zdo6gDB4e3mJg9qrFmPNni1Ze/z2OPXOSpjz+EzzzLxvFnX3ydarxHoQyrkNCZ7AzaGqphRnCRqjBE17JqW4pBSeoiTdeR3hPAsJZ/jqYThoOc5DvmywXKRWxRMFu1jMuhGILsmuWeeqfX+mHtdzsjajIh2wrFFRLaZnQILFIhAqGkIvN2SWYMKjrOju6Sl2Pw0qBN9YKtoFidnBF0YpECxYUxRjcoAstFw2IRuXGwoE0ZNtegEilKUpA45yyTasTp8QldU8vm0ItpFos5eWFY9pCTtoGT2RGj4cPSFK7F9ERMmCpDtRHnPRUVaMhtKez6nhOwVuLZrCCGtfgLUIq2rdE2hyTqPWPEK7LupocUKfKc4CVuq+399WtyrjhNhcabFSUhyfrYrJUeC5d4z4weJf4RJZFbKXlJC+5HtiGFDcLsh10PRpwTowRbhICPkNmKPCt7vTMUuSZ1EnOUOo+JyO+97C7rpp9GSf0YFbmPaJUwpoXlTezsHapuziAvWGffPfHcs7z08rep52dkWcZR3XJWtxiT8eSzTxG6jsXsDJ1ZWucZbU/ZObeN1ppvfOMbXLr0MMeLGWSJUT7guy9+h5/7pX+N849f4eKVR9jZ2eHwjbf5yud+j9V4SPXQJc6WBzy8U/Cbv/7rBGV5+9ot4vajdONLhHKEPXqLT/wrz3L+0Yssqfi1f/AH4HfI+9HR2JTYLGANjEshDJXVkKyoSEo451lVMRpPaRrPYDiiKIWBV+Y5ZZVxcnJK3Xa8e2uf0WSbVhnqpLl3uuJs5XFRU7eOzseNBNY7kTp3XiyarmnBCdJalHAtPiaCj2RVRbISraStIasqnLE0WnHiak7dkqPVEYfH17h9+AY39l/nnXvXubO4x6pIjC7vooIjuEgdFhwdzHnl9VssU4WPAdc2pK5Dp4jvHJPJBB09p6enIqBarVBKkReWyWhMbi1tW2OteNvbesV4PNyEclprWayWEnOlYi+FNXQh4hF3ZeoVn2x87Wajx18r8YSZJ1Om1L8E4nuO4xLFBnXnBBratSQlEA7nA0Fp6UHlGt937pW20qhO9yXQ9OpVbcTllxmNwhN9wHU1XdfifNsDTsTQE3/M0n4gi15rIy4oIm3nWNQ1rueBFaUlIRADjdp4k10roh3ifQHO5jKa1ojKL7YR62XcEU2iS5I2khtLMRjiljV0ETMe89r1G8xmC3mDe8fpnX2RSSpFVQ6oBgPOTo7J+g72/v4+1c4U7z3be+cYj8foMseMB7QpgLYMqwnOZdTNjKpUTCdjrl/7AYvZkoN7K24frVh0mq1HdsmIdIsFr7z1XZbK8A//m9/mzrHYRVezOQRoU02sW1wfDxU6x8nR8SbNVSu7mS7s7u5yejojuMBisZK+Q9dQtw7vhCHY+UDTOqLKsIMRp3XNvG4JytC5wKppWSxWrFFM6zipNQUmxjX/vQeSamEUJsTmTDLSADOWlGcUOxOYjmjznC4b0KgcBiPsuS22H3+EfG8LbyQrLwWou8jnPv9lvM6Zr7qei2AxWpNpw2g0Yb6YceHCBYqiQGmLj4nRZEzXdWxtTfBeFnZZliLTtZYQJenV6vszdkIkLzJUTAIGWefHm/u1tKDBMoGzqnU52n+u5EhvbU5al0WxDxLR0nhDy0JWJkPbXPDXJiMqTeucpM32nnmlzF/rpZh1Yg16M+dPKWx6CzG4TX9rLRRSpsDYCmWHP3L9PSBxTiIaI5BDdA/ICBTDkmpUoULE9C4trRTBe7RR/DXqaIybOaeKCYMjBbHZOhtBi2FER1AYYkwoa9F1oNAF985qWm8YVCMWqyU7kwkvfvHPZbQVRLF2flgyPzllNBqhdMHB8SlPTka88dqrnK92+dhP/STffek7XP3A+8lS4nRvj/F4zDMf+zg3373GYbSMgmOcj9g9dxGPId96mJMmoFanBBznn7rKkx97jP/67/2PnJ1MyYoCRUduByifsLmhUMKiN7nFGMN4UqL6GfJwOGTlajkZ1B1lXkkqi5YHczIqOW06lnWH60TfnpUFq7ZjWuYYa/BE2q6jLHJUUpjckHwgKysBPBgjvPVMyMQJTYoB79eeiCg1qXOYLOsDIzW2sJjSkk0yeVFkGSmKk0/lmi468izQtk5ioEIipgKXTWiil3Gq1SitMFYq1RAjKrPMV3NChM61eLck0xUp3l8wmZEF3HY1PhhBVeU5WmyYrFYLMQ9Fof9meYFrWvKJND/XTbR1rl9ShkhPwU1rIIYcrdfKORfWJ9H7xOYQUg++iIJy1+vn2UA09+Xzul/wSN8q+SDP7DoXLyVAanb5vu836qyVyRG9JUdhfkxF/6Bqeq3o2oBSBcvkQVkqHTi3PWRkFUEprCkYDEti7Igx3zDbNl11yQQRYmsMGJ0TcfjgUF3CKk2mRUbZtZo2eA7fucX4wkPoJlGfHKO1EHoev3SF/Wtvc3qywBZD4qImyww7kyHz0zPqpqOyGVWmuX3zTbYfmXBwfMidg30GRUlVFbTzBdPdCcFaXnnte4TFGauuY3r+PO/b3eH6a6/RdQ03r73Kkw9t89xHfoLpXoZ6fo//7D/4h9w9qGiTIfcOYzO6pkby4BUrEpNBSds2NM5TxIgxFucd6JrYrGizgiYlxpMRvqslb65/aN2ypkaQTPv7+xhdMK+XDPLA3Vv3ePyhCxRGgXbkmcW3DpUbmtWS4XhE03mKatA3ihLJaIkgAzCaPJPgxdF4gDdCzbWUZHlONizIhpV8ZmXEZ3sHpbUVoUukLmHGA+rFkv/zn36FWEw4PpkTlLgorZIoaTJNZsXI49sOUmA6nnB81NI6T5VpQayZSAgwn88ZDsY0umMwHrGYN+zsbtEkS3so5UhR5czLnHE54OjohGo6ICqDRsvCRONdwEcJ0kg+ErzHANZm69zOjfw1KYMyFt91IsNVUoXXTcLohAtSMoVOk4LCFKWw7E1ORIJatNJ4E3vNfiIlByltSgeSFjt6r7OnB3fQ9yDA9zP+H349sJpednjJmcvykrIsKUpL8B0xeNquIXqJ5V2jsDbftFY9oaTf8Y0QVtYCho3QpxdWxORQGZwcHuBU4mS1ICkl1sxhRVUVZNqgbcZiWeOd4KfLzNJ1DWdnEtgzKktWp6fs37zD0Z0Ddqdb5Dbjte9+j63xBIyESexMpoJUni/ZurxHoxN/64WfwBA4XNR0neYrn/0Sd27f5bsvHXHnbkHQkggrdyYwnW5RVSPKUoiwi8WClBRVOdwcPW0uopPRYEjjOgkEXa2IEZkn6z70Iy96Y4mM2UaDoTi9mo5qvMWNO/eYrTpWTWSxbAAIXuygru16yKIXEJVai1zE7JGUISiNLXOCMdhByWA8IisLklbkZUVUYHMZe44mY7zWYGU0KPwJTZccqzZx92SONYbVqpXM9RSwPeVHYaiqAmMUk8lEeHJ4hsMhBoWyCh+lIVwORn0NbiEmXNPiWsdgUMqEo/8ZVm2zWajaZngSZZmT5xKwEkKP2zJ9MqwyGJuTtBalYf9MSvT2/Qiv9z7r3nuywopsXCX5mn5nN3lG1Hozqls3DdfOvdhz/QjiWGStvOtPwvKXEiaBDonkPMoFlP8XrJHXO5H7Y4vC5gVNJ/P3rMjlba01UTCoPT3UyA/c31hx0gWSTv3iNsIQwCHRQZ6Q5PimkmMwyPGxpWuFJpv1wiBszo07d7h3fIILnmIwpKoqkoKiqGhdh80z6q5lOp0yKivqszPyTPPOa28wyAsu7Z7n1o13ISu4cPES1XDA7qVLNGcNN+/ucxwju2XOzrigXpxw93RFpXKWM8fn//B7VNMpbU+oCd7RdWJeaduW2WzGuZ0txkM5dta1cO9E9tnh1ojr3vYp46RE6zpOT2aY/nOMJWJoXWBZL7B5RlQFthow7zy3DmfMa5gtOurGsVjVtK2jbRq6ugG0+OJtJgQZrVFR+jNBKZzWpMygcosdVWSTIXZYiUwY+R4Wy5pkRK1nywrVm1iSguQTr756g8Fwm/Pntli1CZciRZHjgt/YTheLBTFGVj0Xr6oq0cYHx2g06tlzzWZysVbD6Z7Ms/a0a617VLbuyxcZRa4hoWtNAD3eO8WIayR52MW+Cac09F+T9axHuO8KXfddUOp+D0YbTI/TznNLNSwxeYayvVVX9Yf06EkpEmMgyJMuL6f+xR10ImmZzavoSM6hQh/hlQQ68qOuB0bDjWh8iDJu055ci+Dg7FRm0UXvrrPWyI7VdehJ2TPZJF8t9txxYy0heYyVcVFMHpspabCkltxKoECmLe1iwWzVcTRr8NFw+9Y+u7tTKt3DHTND8AkTnZB9jEFZTVIwXy156MJF5m1H1yw4vn2be/fusbW9w+UnnmDnsUfQKGo0ew8/zKPesjxYcu75x3nn3dfZVpFf/sSHeen6N1jOIl/6tVe5ff2Eaiq7ZVlpTJKHsq5rsjzD+JwgmlNpTPmA1r2FuH/olsvlhqxaVCUxJrK8oswFEyWhCBrnAiBiqMF4wGpe041H2OmUxTzy0rVDJpXiXOfZGVnaLrA9rphYS71sqAYjIcPaQPT9v49WKKulBjZSw1Z5SZGvUWgBr9mk03QukI9GxBjpTuc0rmNQlCxOa77zgzs0qRCKkh1SlJoYW3TWi2OcoxpV4MWPnmclZ2dzMcHoiG8N1ijG4zGNT9Rtg7Gir08pMZ8v8TGR5YaToyXzZsVj5a4kDMdEMpaiqDZNMe8CyhjqtsGarN/pPTazhCQ7cuccucmIag3F7HtOaX0iksUn+XeJtnWbz7McilGBzuUZUwoIfaMOT+q9/fQjbtVL0BUIEhyJ2yZ6iDL58n2E1o8z2z0wRZ7kjBmUMbTOY/OSVedFwWSyXljyHkTWe7r1MdBDCN8LHOz/LApdNPhESJGAovOB1gdcSuzt7fHOrdscnp6xqkW4UhQFW1tTXNvgm5atyQiChDwSRX7aNA13D+8x3drh6tWrXL56mZQCW6Mx7XLF2fEJh/sHtMsV49GIkBvSKGcw3OHeWU352FPUTeLdm3d536OXufLIs9x+8x5b423uzbrekim7SJ7nROijpEShqIgyYkqJQZEzGJQ9fFF+9rKU/26dZ1mvaFpH6wImy8h6XX5CExKb43/TdXRdi8ksS9fhbMmCjMM6cTQLrILhZOlYdaJCWy3nBNduutzOORGmpIjrGlTw4ALzsxnLxaJfjApblJBlKIQe49sO37pNOaaN4s6dA2oPrfPM6g5y2eEnky2MtcSUNkEbbdvet1VHNpDPssrpfE/bTWmj4AwhsJjPyXNL9E5izTOL0pq2biAkbCbEma71NG0geDmFhiAWl2atUeinGt7LGBh0n9R7f9LUebeBf6zFZyn25WiSZ9N5T1YpTLbGu6vNVCEF8T/o3k24GRMaeipRRAdIXUQFj+pR2zF48B7d1cTV/Eeuvwe06BV12xGCAyVpK84nzmYrQWRpQWRZazfHLGMyWQDiwcG1gRgUKcpxR/XNDdPbam0uCqdlE6ijZe4CPi84uHuM15pVG1g1HTvTCY9cvAA+SMBCnmFJ5JlhMT9DreWSmUErw+tvv8Xk3DmyImP30h5lXlAUBeOqZGwMt965jvKRTMH2xW0uPfE41w5PuFsH0nDAkz/1Mb77nevcuv4uzzzzjPjbVUnXH3PzrNiAGFJPf8msZjyUeXBIkVW9JPiOrmuEaNHvHOseh9BZAs5DSNLkGYwkzqoqh8SQaBoZh41GYwZlxd65bTDgk+Jo1nK8Mpw2hkXIOGkC7+wfcFYvabzjZLGii7DqfE+rjWLJdYEUEjomfN1iEhsJqiDhIviA9hHXNJCkd9I0K4wWCKTJMuYukjLFcFhRN448LzcilcFgQF6VhBRxQWTYWZZRliVZWeBcRzkciODFSlqP957pdIzSicGwoigycbUZiL4jBdGNpATNvKFdtHTLrn/GJI4qz0pWTcc6olojR/81P895j6QxSu8hz8WvYDJRPUZAm4w8L4kojFWMxgV5bvtm3bpuv78ktVIbia3u/zyFDhXlKL/e0S0K4yO2U+hFwN0+obt1+CPX3wOS4fZ0ETyrrhUiiFbMfEeIA5HVJui8o8oUxlp5uGVoIjZCBQYDqsc3K0vbOoiq34XEduq15bRrmUyHXLj6ODdev8b5y1c4e/NdOhd45NwOmdHcPbzHaDCQMM2yYndrytnxCdWowvRnpc47bt+9R7AWlWvK7QknN+4x2d7h+ltv8aR+nDzTrNySO996kw/+3Ke5+cbb5Fu7uKygrQy7Tz7B07PEaLiiLDJ+sH+DeOpwKAZFSetaMqVQ1pJCIvbMeTMq8SGglCXLMjJrqKqKGMNmh8gyyUHXSpiqbdtCbtFW41wr0c+9UGkynnI2W3F8b85kmDHMFWEg99BmBad1jVGWsyXcOZqjVSS7c8LW9piiHLC9HTBW0YTIoDAU2Vo4kkEQDJcLkdIYCWAwiW5V0/oVRZYTgmdVr2RXcw2z2RIXOpTN6ZSlSY5SWbzT6D5MMgTp+0gwpTwjShsJgjBGTgLGiuVVicmlazu2J2PKIuNsPmNgpDEKUTBYrqbMM2oX6eqGxkWsDdhCMOxNXWPzkhQ8upfSaiXKUKMyMOvdXEQ31ki2vHN+kwIkeHCH7bUO6yzBnd0ppvfSG63pnMMkeckoZXpTD/fdpghMU3kBkorN1ONah+4SsY7M7hxzeHPGqz9460euvgey6E3fYPHeU5Yly7YjJM/IOFarmtGwYrZYMtSBcm9I7Km30M9JjUKFICeFvt7RKZGbgtN2jmsiy9MZ82XDSYh85F/9aT79ix9l8e5t7r5xk7/1b/wif/+/+58xruT06Jhcw8HBAZktMFnGYjljOp1ytnBwFsEa5vM5VV6ibIG1OXVIPPuhj3DLvEIbPfPTE/yq4ekPPUsxHPDFV3/AGy+9SXCRchgJky0WynD9nTvYgeb9L7zA3eWcX/47/z6/+Y9+HV87YpDRo1YB51u0MQyHOXujipQn0AXKK1btAq3H4BS2MKyajtHAkoLorp2T3deWOV5pbBK/QlFpQmzl2JhEA7FsO4rSMCoM5xSsjBCKimLEQxcvCbWVyLgqGRQyYfFJjFEYjR1WzFc1+WBMUEnst4ReUhpofUsxLOh8RA23iN4TTc7R4T1WHQI6sWOWaoatDG2MRFOA9jS+YXt3m9V8gbWG5XKOsluYzFKWA2Z1S6lzFsuavfNbLBYLPHtEo5iOhrQu0IXAoul6MY3t4RWaIoPgHfXiiHKyx+m9Uw4PTwVfbQQaMhwOiSRCHsgqKT9B9PfD8ZC6buReWkNeVPjQbOTPos7ztD5ildzvpmlISsAsJnZs7Q2wZSkTptCiQ0fynhSSRFYl3SfStiIx13Kadb7BdEZYhcsF3fGCs1tnvPnaXb7y4rvcOPaU1eRHrr8HJM6JZGWGaiWeSmsDUW1q2aZtaZuWOrd9kkjfFVWa1nUyQ9Vytll3KzslOn6jxQ4Zym2cafnFX/gwP/2rP8u3/+JP+ePf+BpmUrBoakIsabpjsnbC1s42x0f3aDvPoD86Hp+e4H3sG3sdSlmsUbStY3Z8hFuteOa5p/na8Q2m2ZCq1HzvtZepdcve5SsslzUXhzlPPfkEf/lHn+fi43vonRIN3L15yO987yUuPH6VD37yE/zM3/wFvvSlv+DujTvkwGkITIcjopvhs4plExlXI9omkJSiLOS+dJ2nGmQbgEP0ntBFqmrY46REILJsWvLcYpJAKwdltQm3qJsly5UidZFL2xOGwyFVkbM7MAwrCcsYDysyKw97GzzVdLvn7Fl8CAzPDTE4cpuR5xaXpE4PLslMeiW9BW2VjK5C4KHHLmKHQ1RmCAryxy7iLu9w/cYpb751h53RNvPjjnrZSvxyiFRFyfz0jBhg5T1BsLEAPVNRegxZXvaCGja7LfQNtgDD4Rgyxc72FE5v432krTuW81VfasrJsWscymiW9QK9aEBbikogmWcnZwLAyDIqW9A1nczS++mSQuF7JWP0gRQjMSo630HS5LmhHGbYXGS3BE/yLXhhIsTYMw6T8A6VgtiJxFbFSN066mXD/NYJ+9cOef27t3jtjRPePcsJpmDV+B+5/h5Q916ijkMrR9PWeYmz0gofFIumJYYobztrpCEXHEXKyW0m6jwk3EJqWciwEuWjHNFD3VSMLpzjX/qP/gZf+cKf8Pv/+As8cfUjXDt7m6//xbfIUqLRirPlAoyW+OTTOXVds7uzx8133wEMu+f3OL62ICtzkk9c3NqiUIpxOebGG2/z3Ec/zqtffZHxYEx95x5vv/42djJhe/c8Dz/1CAf3blJkhsXtEyajiu2LU7aH7+erf/Q2X/vCF5mOCz7zs59hsrfL5z77xxxdv0452saHwLQcoVVD6gMpxYacUVSG8XSC3Rf5rVGWFBN5XtDhe6LQfchInpXyGQljMobDMbOTU5mvm4LGeS5sbUuAR6HYGZeMrGd3UhBTINdCcg3BSCjo7B5WG6nflcaqXPDXKuC7jASE5NGA7xwq5bSruYzQlMKpRJFPQGlUXpAPKi7vXOLK81dZLDxf/LNX+NbXf4A/S6xSJLcF9XJOHgKuzeiCkRGe0ozHU0LbcXR0Qn6uYB2xlWUFdbPYlD3izpS5eOqEWmWMoigGRCfR0EoldrZ2OTk8wrceFYVFR08Ban1DaDsRDJUFykCnWhZncwaTKTH1mfK2n8lHAY26YAhR4SOQDEpJ38VmUmYQIREIbYvVWrIbjIXkUCmS6Ot9bdAh0TSBxkeaWcdyv+XgZsv1m56jVS4lj2sZ9J6AH3Y9mEWvFEXy2MLgQgSb4X3HvA5MFp6kK7q6ZVE0rOqCLJckk+glH2zduFpnfGAgKk9MLcFrUrnHQx/d4xMffx//+d/9O4TFNpfOPcJffv1FfvXv/Vv87//ot1iedQRExXd2fAouMKwqlnVHs6rJsxLQPPPC85ydnHI8n5OZgtS2HN85YPvCRSpTQK750M/+DN/4i79C6YyHH3uSajhl/KGH2a4yvvCHn+fyE09x/bW3Odw/4LH3PczpwQlPP/UCZBXf+/Z3uPzsIzTzQ/7df+9X+PKXvs63v/hVcq1IJqNIA5KWsifPcxoXNuEeeZ6TbEYMAe8VSSdGowEhJLqeEJuXhZwAXGBYFUwnA2azmTAMTI5rZQdLJsOqwKgwjKwhy2W2r0r5CtEAACAASURBVNHUzqGUpXEBm4yIYvqXcVEUhDZSZhUaTWxWQhBqRVQSQiC2azx5B5lhsDUkWYMnYfoduQRiu2RnqPnlX36BX/m3P8WdgwWvvnKTP/rsl2nsCFpP5x1RR1QfFnm2XEkYaSFNvhgjw8GIs9MFeVmwXLabBq8xovAbjEaE5YoL56bUbcnRofgUptMpMXoeeugip6enZEbq9BCjvLRsie+DJ+vVHJ8iJtMUVcW8PZZxstFErfBJ7r3VRv5tQHQNSqyy2siLJyjJHohtiwkeFW3fzZfZPCg0lqQDXS3TpVBHwjxQ32t55eUDXvruu+yfOlSWszWEUVZRFRns//D192BkuAoGhaVrGjEKaksyOTkisqkXogprHSxnNaOihHIdGKiluRFjTxSB6ASd7bMSX07Zfe4ig/MVf/Ib/wfmbJd86yJHx6fs7o2oJgOWRtMFQ7IN1ivmZzMmZcGta9fReUlMkphqjFBuq0HBNEFZjDidzfnOi9/m45/+WSaX9virL3+Zj/3Up/ipT36a+dkMOx6ATYwvb/MXf/inXJye597BHR5/9Gnmi4br7x7xofc9wx/89u9w/spjPHyhojtp6A5O+cJ3f49f/JVf4Z2Xv8/s+ARyYbJXo5zVsmGxavrUE70RngAbvXbbur5bLamtNqvoWk9mNc41pLJktVptxpyd78iM2D7rpmN7ImPUMs8gtYS23phUkkI8EUa89xElMV8RsSJ3kuxiULi2w3lHZnLpU6g+mqzMiJmgoaKKGJ3QKhKTIxqxmIImtS06BvamjguffIgnHvsl/uqrr/K1r3yb04MjCiyx9sQ8x4WWLAS0MpTZFqenMzovPY3w/zD3prGWZed53rOGPZ7hjlW3uoau7mYPHFrdpCiSakmmKMoyNdiKRltw7MBwBhsRktiIExgZkL8GHAQJAgSBHcNwHDuxZFmRZcmRKJkSJXNsDmqyyZ5YXdXV1TXc+Z5hD2vKj2+fU02bTRkxgtb+09XnFs49de/ea33r+973eZsOowZb8EAAOps1EBqJLrewdIk+SKOxzIthQUtMtka0bUumLGZwFvoYST4JdyCzg+tTszidC1DEWoISg1dU0C5ayRfIS3zfYLKa3nmUc1BbaRBHT3BIaGcS3aNRVu5x7DCUVxAcxED0iW4eOHr1gBe+9jrPfvk6JwvhY1VWszmakKUFk+qtH+1/o5GdUmpPKfWl4c9/Ryn1aaXUf/Omr/9rr327K88ypls15/e2mFQZhU0YArWBs9M5PsLprGH/4ITZvKVtPWGYFUujJA3Y4Th0/nMSE+ABtq4+Qmxu89Vf+k38bU9lMrrZjL2rD/MDP/IMv/EPf4P+LFCPcjIN1uTcunWLZDXT7S12z53j6OSUrhNl3Ouvv87G1iZ1WeGiY3tvl+O7t3n+2d9nslPw6GNXeO4L/5Jf/+e/yGxxj7P5XYpRxshm3Hj5VVxSXHrgMgf37rG3twet56t/8BwPPvQo23vb7F29TFFCXY85unGHN159kXN7u0QfaJs5zjXEIGmrWmuh1LhuPZfNrMa1zfocKGd1Ca1cwR3avlurwKYbY7SGsszfhLdWLJ0jGUE5hyiI6RVHX0aBMg+XBqwjyzXieXak6FHIEcwPCG28jOjEKekBT1SegENnQ26bAaUDMfZ4FYjaEVQvct8UsFpBanjoaslP/dwH+Pn//Kd59MnH8NrSqkjTLSW3L4gJ5ezslK5rKMtSkFbpfkRUSgnfeYq8kmpgVOF70V/EANVoRDESLl8gMNmcYHKDLcU0ZEpLXmZkpcXkeohBl80h9Z52tuBk/5DZ0Rl961jOlsyPZ7SzhtnBISY4lsdHLI5PmR2ckiVFs1iSXEDHQBoSlSWZdgi4iEPk9EpzHyE1kYPXznj2X97g05+8xlljsSZnc1KwOy4wqSO3icz+24dd/PdApZT6KcCklJ4BHlFKPfatXvvD3szklu1L57GVYWd3wrjOmJSGve0NsqKk6Z38w01G03q6th+ccoOYYwAEWjWc1XRGX47YPF9ydngN/8YRY22ojabrI+958gk2duGx73gn1154HdV1dIs5MYhPOaHZPzrkoSce5ZF3PS7n/MEqOTs9Ja8rylykwQ8++ghVVrJ/c59/8Su/yebuOR557AkeOH+J2dEZ177ydc6O7nHt+Rd56j1PMb6wS0yaczs7HBy8zrnLuxRbU/JJSegDX332dznYP+aTn/wk29WYL3z80/zAD3+U0aiitokuQJ4JWQhgsViQGSHEaDwMqTTeR7QS5VpIfi3Wcc6RoqKqqnWyitKS7ppnei04WSxb5m2LS7BYLln2HSrLRWKbEj5EQtIoI9VACCt5qieFTrIAkyDNjJHmYnR+bRVdQTrKQrT4Zvh/bQVfnvUROsAFlOlBBcShWqFDhwqnPPrYlJ//K3+Gn/z3fpRqr8JpodOsOuZvtgGnJNmEBjVkJHpWUdF1XVMW2cCa1di8YLy1gS4ybG7Iypw+eGwhjkRbFpTjEeWkJq8LRpMabQ1lkTGqajQKiyK3GZkx+LbHt47YB1zTURuFiZ4C6E7PmB2fcHx4QqY0FoWOSQAxWlIs1dDYJgUIPaFb4pYtdJH5QcMLX3qNz37+BmdtzrjO2drI2KwLchspisB4VFAV/xZhF0qpjwIL5ITwEeAXhi/9JvB9b/Hat7+sYfvqBS6/8x2Mt6ac2xmxtzNBZ1CN5UFWWUGfJDN9hbbOjMGQCKsRRpKAwuQXqPYO85uvUDQz+u4EqzReFTz0/qc4ae/xsz/7p/iVX/jHhHGNzxTleCSSy+REeaUybtx6HVMadJFxvPTMU8KnjM2dbfrU8uDDl+ibGVtbm1hlOX39Dte//BVe+eJzPPPMM5hJwXf9sQ+yu7nFVz71ea6/8jJnB4fsXbqIyjVb5YgbX3iBR59+D3Y6YvviJlfPP8wbt17jp/7in+HWwZK71w544TOf5q/8tb+MMwFb1jRdy+k8oMzg384U3bKR3TYZiXLKEsEo2hjRec32+XN0wxlaZyJ/VVYRYiTEBMEzLgs6lXBJCLNBaWJeEXQhkIy+JzmHjpFRmWOSVA7z5ZLQ9mQSPoPNc3QmRwCjNfhAdCtW3yCbtoZkFdEgWQaDwjKEQPKJ2Dtiu0AHT2oDftmigyOFJaSEDRrddezseP7kT3wH/9Pf/mt89w9+J2Fc0Fmpaq5dPySvtnGhx0WHJ2PeOpISuawYlQxnxzO2L+wQ5zOWKdK5JblNFJnFFCUpy3FKgJ5eWaLNsdUIlVnKiVQEG+e2KKc1urLUW3JsLKoahkRa1yt8k9goCvY2LOfqyO4IipRDl/DLJX7Qx0eseBJsRZZLSq+MAgNJB9r9YxYv3eLGp27w8X/yZX73E9+gKGrO79Ts7RQ8eH6DUWkY1wUbGyV5YbD2/+NDr2RW9t8Cf314aQTcGv58BOy9xWvf6r3+I6XUs0qpZ2fNEp0XFNMJWxf32Lu8x+buhI2dTapRRZ5bmmW39s9rZWXhG+Sj8oNKuOhIOpFldsjAEHorKaPxms2rF/mBj30PygW+9tyLPP8H36CdNVS2wDUtvl/ieo3SNR/58Md46skP0beGq1efoB5PuHzlAT7ykQ/zjZe+Iakwi5YXvvYis8UcncGTTz9Jezrj6PZtfuM3f52HHrqK7x2//Wu/Sb9smEwmHB0ccuvGDarJGKqczQs73DvYx5SWzvXkkymjUPHCV5/nx//CT3PsHcenDV9++Tkee9976b1j5hw+KqJWaFsOs3hhrdlCzunZQK0JPmG1YTY/4/z58wJ6UGqtWBzVNSppJuOarVEFpEHkIx1sFyShJreZSD4VawqMwDMgKwqKTLLyVp1xgUwkQnBicpIJt/zujZEzfGYxVhaBNPDtVNJkRg+CGUl8kYAH0aCbQUijdFhLVEmOPHP8B//xn+SHf+KjlNMxlDmYGh8C1hoyW8HAAJCqLaNtW7quk95DaTk9OKLrPUVdYPKMbGABrOTdwgVQsmCpFbxSozMJ/kiStiqd/CxH5xnlqEZZxXRjTF2XjGoo80SZa6JbknyHCo7NrZqsECkwK9jlsBCuHXRRYaJiebzk1a/f49O//yJfeu4WXYDxyLK7UbE5HjGfzQRtpqGwGWUm4+W3uv6wRt5fB/6XlNLJsDLPgWr42hhZNL7Va//alVL6W8DfAnjHxSupnm5A9GRG01iJHY6dOOestRilaZYdIY2wRYk24kQyuYEhaw2t0FbslxqNQaN8wgVLo3J23v0I0w2PSTnfeOE1JuUG3nli8EyqkkXfEDPPfLnPJz/9cR5/4l1cuXKFB69+P8vlks2NCc8/9xWIirbxOH/CpYsPcnz2PM983/u5fOkyX/3SVxhtTtl7x1Xe+MY1vvHiK5S2EGBGPeLqdIO7b9xhd2+XenNMPs7Z29rhCI1bzuiyjE/81ufxheJP/OktPvjD38MXPv4Zts6P+eGf+2n+t899BW1ykvEolDTVtCT+roAR4j6U10ZVSegduc05PjokszXdcgHRUxYZRZZjA7TzGZulAbdAm5FAGa3FmkSRGQojP2Ots6HzLtn1fdsxmozka8aSZZagI8FFVBIe/KrE1kbsozbTKGsl5CQKiitZT2YNqfeEJMms2spMO2hQKhLDQJCJGSGJFp0YBKqhDOMNz8/9+R9ko8751V/8VXAtJydnuD7n8PCUzY0dlstTcmPBBOrxhLY3nJydMB6/g953g8KOIUtBjhvee0xmCX1EW4mMSgmMtkPOgqEoy/XCGyOEkDBW40KgyIQjmEIiKyLaiJGrsImRjeSbOZevnMPmoiyV/rRBaVkqAQGMBo3ynqP9Oc9/7YDnXjgh6gm75wx75yaUViLLCiu+f4NiVBQo/Ld96P+w8v6PAz+vlPod4L3An+J++f40cB34wrd47Q+9vAY1qtHbU6oL59i6colie0peSnZ3XZYEEDyzd3RDLp0QYcBm8vCHJHgik1mc6sitQpGRTQuuvv8JfvH/+Ecoa7h15wBlCsajitxmpKios4zoe3a2xuxtbvDcs1/k7/3tv8v/+ff/dz71yd/gn//yP+aN6ze4d/sNnHNsbW2xu7vD93//99L1c/6fX/tnHOwfM93d5f0f+i4+/+nPUA6EWaMsh/sH1OMxjz32GPfeuM3dm7fQPnJw4xaLxYIr73iIJnme+ugPMZ8bfu9Xf4ef/pPPcGFjgjqt+JVf+b/ojKaZK5ZeUNVCi4koK5x6QXEndJ5TVDUuROZNi7WaqqqYzZeYXKoAPwhHUJGNUcXOpOD8pKJpGrpoyfKKmAxZVgyRypAPu9jRyQkuREajmioTTluMnqZdSGbgSpSSBASxjnXOtCTDaNa9GB0Tug+kzqFcIDadjOC8uAlV8BiVhnx5jw89Eg8d1rpz+XuRqj7lp/7cd/Hf/Y9/jWJ7TN8ljMqpyprlUlBZRVGQUPik8caQ6NnZHg8zNDlLN01D0ze4eN8Fl3Rc7/y2EGddUtD5DmU01age4tID9bRGlwZdZeSjAl0ZRtMRJlcoHfB9IxOJqeXCXsnelQ2S0SibiV5hRd4d7LXR9fSLGYt7h7z+8gkvvTTneCYTgqvnpoxzMCpSZTl1VVGVlt3tirpMku33bSAa33anTyl9ePXn4cH/ceD3lFIXgR8BvhsZlf+rr33bK6WESkHsiMagixxvLdXWDuXGIVWTmM+XGGto+x7htYnxxUSZE4eh8wxRZsYEfOrRPorQZ1RS5xnb06ts7Ozw9VducvONWyibsTGeUJU12gSKfMx4UhNcpM4qJtWEusiZlhscH54w708oihKTK169/iLXb77Csl0wHpVEP/zitebo9Aybl5w1C+rJFptVTdv2XLt2jXc++W60i8xmx+Q248FzeywWR9y6c4uRyane8SCXH76KPzuhu32Hn/mzP87rtxd87TOf5smPfIivfvLL6LxAx4Q1GmN6uq5jXFdEZYhFIduFFjtxPQAsRpMxy1aQYjrTlJU8lK5tYaIZlzXnNsfsn0Yar2k7R20U2uZMskjrA63rmZ0tqOuarY2phFomiZsiRTE7KY3SA7bMSKhmbq149lfyaauGrEGFUYJIwwV8CAKSUJ7kEnklyK7kAsGsqLElSQnUWSqbiDVWjn8hA+158B1Tvvsj38mXfvuzZMazv3/E9tZ5FrMZZebpGgGGOB+JoWd7Y8Li7p2149MHhzXC/gspQBIwRlWOgEB0QWKpEDpP8KskZfHlexWwVUHohHsnwMyelIyEa1rNeFzTL5dM9zaopjl5OSIkiaISRc59HFyKkdjNWRyccnqvo+8C00nG3jSj1gHXO4pyjCkTfddiTcJYKfvnS/ElvNX1b+yySyl9JKV0hjTuPgP8QErp9Fu99m/wZvSto296tDXYqiDfmFBvThnvbJDVBZ0XL3ZdC6YpN4LHWkFG1tngAxYKNWSIKfCh5fTkHu50zosv3qQYlewfH2OLkmyQsLZ9x7Kb4fwS55cs5idUVSLPPcE33Lt3j4PDE0JKPPSOhwb1lh1W7MTibMnehQs433Lj1et87l9+lieeeIKma+hcy2Ixw2pFZhQvfP15xtMNrMmZLxsWbsGoyOjbluXxDGMVf/xjH+YD738fX3/xJq70vHr7JZp54gM/9D0sYiNxXcGLK2zgsxkFZZGhVcJ5AWw0TTMk/jZ0AyHGJ0fXN7TtkhgdRke2N8eUOWxVllInkg+AxtqMoAzGCCxjdragHo/YmIxIzlFYs94J3xylnJmVBHpIYeF+6INWaa2tIAVScGJY0RqVItH1hC7IYtA4fNvhu34dqpGShFqsQx9Sgig0ZBMVJlSYFPmz/+HHuPrkFW7dO8B7z+npGSlBmRdkusS7yOnpjMm0oioMKjms1evjiNWKbDjPr5xvKXohB6l4/55D7sE+eGnGmfsuR2DdG8iyjNxo8jwjkPDJkRWRnQfG2KkhvikUY/XAAzKq6z1x0TPfX7I47TEWzu+U7G2WZFZjlcU7RwqRosiYboyYbtTEsFo0/u1Hdm96XtNxSukXUkp3vt1r3+6KIRJaj0qyaposY2NnSjEtqMcjWFFEBgGKGjT1SifUAPhfIbFSHJpJahX7k0sTJGmuPf8S5y9f4Lf+xe/y0ss3SFEIM957unZJigEXPMvGcXQ84/j0hLLK6ZxnNnd4DBFLWVe44DHGUmQVKWiMrrjyyEPkleX0+IST/RMe2Nvj8ccf5Xj/nnxWLRijDM14c4NiOqabzSg0hMUC1SbGWxfEklolvvzlT1HZCV/40rP8zM/+OF2neNejlzDjQpBd0dO3DdGLwq3tlqTQ45oluTIk54WdFiOZ0hAi0QeZmwcP3hG6Fp0c0XVMypyNUosKr7Ak7+j7DmtySJrlckld10zGNb7vULEn1+pNuXCBpCG4Hj9YoN+c4tIHh4LB0+5IQ2KR71coL5GdqiQCHwbPucGI+CoOYZFrCOUqwVUcaCEImFKpRKZK6u2MP/vzP0u5VWN0QdM08jn6nr7vcW3PYrGE4LFGvv8apGn1usHIQLwtMsmID85/E5RihcJe34MpkZlcxm7IRELishQ2D1iT0CaibKQcacZbJfmkEFyYVuvFYvVeyUuP5OzOnLO7jtOTOXVlmIxyijynjdJsNUZhMiPw1KocOAKG6NMfPUZecJFu3pF8IC+EHEKmJMRmUrFzYZuszmiCQDVyI15rreyaeBpjHOikRpotoSNLOSFFbISyb3nnB5+krscoXzKeTEkGvEuDQaVl2UETI+//4Ado+x6V1xwuGsp6RAoSm/Xgg5cpTcXB/gnTnU22djbQDprFkldffZXzO7vgHYvDA65du4ab93zPM8+wXC7Z2d1l79x5fOP40he+SFbk5HVFd9bSHzec3tnHZDlbD1zg0uMP87Gf/hFuvvwKX/qd57l24wV+5id+kvbslA/8sacJUQJBfHJ0iwWz2Qzve1LssERCt6TO5SwenSf5hHeOYpxjtcK7Dt8HUttycTrh0saEwkYK3TOtHO38jD5ltH3g7OSIeTNndzpmOiTJGC3wEgGYyKJjB7rsOrghBIosk4dNq4HmqobcgoBJouoLg7BFhUjsPTpKVBZBCDBvnuuHASihUiK4IeO9dwKnTFKNxOSIeEiGKw9f4L/8G/8pbfQkLF1KLFzgdNaLRbaDq4+cozk9Ay0Ot65rcC7Qd1EotM4TvNB4bC4PlbaGENwAdpHFQQ9oda21BGVqyK0h0zLDj31DhiZ6j46Rusqxm5ZsqxTNQm7IENltNICP2JhI9PjFgsPXZ3zjhX2sqtmZVExHWhr92jIab5LnOeNKsz0p2MgLClWxfzCn6wKkt36035aH3nvP/Gwm3uKhcaJtLvJOBVmRkxWW3gU6l/BRzBHfxCQfpKhJRfrOS9rnqhNrIjY5Tl96mZhannrfU5yezmTspBVt24GWRNIrVy5xcihk3LZtMTbDBU9VF1glOWY2F9zS4f4B89mpBAoEx+uv3eTy5QfZ3t4mDS6wo+NDlssl73rnezg8PiIrcs4/cJ7oPTeuXxPPeBLn1+75c9y6+RpN3+FDoNjaYP9kwbJT/P2/+w9Q05rTZsm73vse8qqkC56iqsgzIyDE6NFDwGdm5diS55aiyNg5fw5rNX3bUte18OMzyVrLDLLrOkGLTaqczGqOT84IKeJdR1nlGJXIVCLXg7pNq4F9H/DeEYesgtXOroYyN8skgmzFgQfZyVdVgB2EO9FLEsv9RJ77QRFhQKGtFvi1um7wl6uBOwcQCMQkMVGGxNUnLjM6V9H7DpLliXd9h0hjSSRtGI/Ej9C0jhAcZVVIb2JgNshRTqrHGKW6cF2PtflaJLX+bEmmTZFAJMCAMmsXc8oh+RetKasKU2VUu2NUnZOMxQ//ztUlilMx2XSzhv07xxwcztCIs7LKrESFDaNEiOJ+1NA0zcAPBBd6bPZH7KF3zrFYSOmllSXPc6zVmMwwmk7IyoKuj/QeFvNGABDKrc9zPt4nha5KrRQN0SQyND4PRBS/9g9/mXe/7x1849VvoG1O1wk8scgrbF6ysTVla2ODl156gRAEOlGWJWdnZ8QAualkxzJKoIsJ6jInIDhn37e8cesmTz75JHlmqIqS6ANHB4eA3PQ2z9na2ebxxx8Vj0DU3L17F20zqvGI09kZp0eH1FXB7Tf2uXTxEWpbsJk2yfISoyx7ly4L4qkQRp4xGZujCaMiZ3M6xmQ5PgTBKQ2LV9MsaNsW3/bopNd4J61hPCmpCsN8PpeMdx/o246yyJiMaqy1LGfzNYZqPp+TW5mqVEUGA2AyDjtfCFKuD6TMIQBC8u5WYMnohX8gbj/hxIeQZMFOGj0EPqQkY70QAlFpYhqIuUm+FlAy7zcGnTNIduUM65wj6kAXlvzpf/8n2Dq/gUqGZz//BxAi+0fH9N6xs70hEmOrhkacGQCqcqRIKdEslsDQh4iSN7ey6K5K+zBEgDs3PGQqEhU416EVtEtBhtXTmnp3yrnLe1x+7GGKyYiYDc3MfGi0BqkcEg5Cz+z2Kc08YDCUtWFU5/LA64xMQZkpxnUhXgsXOT6b4bxEfq2QcW91vU24LDi+d0I7b9e64qQAawjJ40Ni2XbEKEhjbRRaC9Cw8610gomCOxrOlyklUi6pNjYDUoZJNV/8zO9z/vI5YlCMyimh7wkoyrJmc2PEzWvXUQlGoxFFnuEaMfu4EPE+YIqclCVmZ2c0pzMeuvwgRZETnCdXhtu3b/PSKy/y5LvezcZkxMbWlNnRCde+8TIXLl3k5euvkFc5UUUeunoF13kW85Y37u1jy5wPfd8HSSFy58ZNrNX8xm99gg88+TRZqHn1lRdwuWYxO6NvOxYLiWKaTqfMZ6dsb20QVaT38oA451gu5xRlNvRCjAS7Rtje3sYaxdZGjU49XbtAk9EtGzanG2xMRnTLJRYojBKZqgLnO4xKQx9B4VMYYhSFyx6dx2gZ38XoiSkQh8Rh9SaJrIzzEl3T0rct0QdyY1FwPw13SM+ROXk+uAmh7zxR8U2RUSFGYpLKLUUNUa+txMnABz72NI88dZF2MZevo+m9EHavXjpPiB29d2R1ifc9dtATZLmU6UVRUAwE3tXnW3EdpVHarTehlJL0NBKk4Ihdg/Y9uU2cf2CXzUvn2byyy/jiNuXOBDsp0cbIgqtkkpUlJRAO39AcnXJ0/YTFQWAy2aAqQA+/SEukMAqTHNbIRGvRefqgcTFR1hXjsiC32Vs+f2/LQ68QcQWDfnsdUWU0RV2xaJa4EElRUZbV+qbxvqcochlPDeV9XliReQ4lazKaPFmKrGRybo+97UscnS6YTCaM63qNiq7rmqZp1vPoxUL83tEHRqMJOq/IRiMuP3R1HYPcdB137x0w2RiTF5bz53Zo2yUhBF699govfv0Fzs7OaNuWK1eucHp6ytbWFidnp5ydnXF8eoTve1n96zFJKU5OTtjc3KQoKsZbE2INd+69wXEzJ9Bz5h03b95EGUudF0xGI8ZVye7uLp5EPdBdDIJUXgE9R6PJ/QZW33J2dEhpDJNRyfbGGB0di8WCMi/IrRbqjoaYPMH3EAI2u79rZ0Z2RanKxJiTabV+2FeXMdKEW+2Kq0VZpUH8o6SZGlxcN2mTl+BFlZCuvsnQyq4RVKuqYCVEAhmtreK1tJZeD8muH/CsNnzs3/koKQssli2Nc2vPvAqOqiiYTDbWFuWVF37RNEMFKYtVCnF9rFzp+40x65/D6qixYimm3pMDGZ7NacHm3haj3Q1GW1N0adFWrR15KiWMGo6pSFkfly2LuzPu3ThCISI1oyOu7ymynKrIRECVazIjgM7WOQGB9I6ua4lAbv+IlfcgxpG+6+SMOIyL0mD2UMO4w4eerhN0sl/Jb+MKNezXApCUAtbKqAQVyVWGUoHzV87hneYrX31RSC8kuqZD64jWkeVsuXbupZRYzuaUZU0KMG9byq0pFy4+JnYNIAAAIABJREFUgO9a6TrHyHy5kAhnBXVZMZlMUIOj6Y3br5N0oqwKgus5Pjhke2OTdtmwsTVlurlJ2y5ZLBYAgk8i8tJLL5HZnG+8cI0f+1M/yvHxKSlE7t69S07N5z75ObLJRB7M4BnVJSoX3PTJ0SmaoQOtDVUpybFt0zMab6Dzguh6tqdjYregVIpuMadtGsoyZ3NzSkqRIrMyGUlyU1tj6JwQa6MfuuYGWu+GKYo08ELv7rvpfMC1QuytquqbzuM+BmkyDuUyIFgqpYlJzDBxWICJiX7g4K02BDnTfzMAlJjAr5JlWFcLKgox9rH3PsQDD2/jlaePSuhMVtO7OSE6IgPiul0M1QPrfsRKAg5SrsvITnLj+r7He9FKiHxe4aPEUEefyHUiN4HJTs30wW2q3Sm6KlG5XY8g1aBODH6Fq/YYAu6soztoCU5+jyrJeFMFBNpqIoWVkaK14qB0vWDgjTFUdQY64f6oIbBDCFKyxUh0ArEUbrfG2nzYHcBaGZeE3uPd/dBKY4fMMi2vBRLeJLSPWJIQZtOMqpjxxtmc8XSHSKJv54yKkp2tKfOTI5QX6m4cgjJ3trY5PTpmMW8oqxEf/uEf4u7BXbrFgtFoRFbVHJ3NZDSiYTSqMaVl2UrfYbXyd/2C69ev0S0bXNMSnWcy2eDw+AidSRl+7+4Blx54gIODAx64dJGz05aTg4an3v80D3/Hd7KzucfT3/MRvvL7L/LA3mP8uz//l2Xxa+b4fknXNeSqwM8dRkVC3zAuJY8tywoOD0+Yz5Zs7G5jM0NlYVpoKg3b0yl7u+fYPX8Onxw20zTNgt3d7QGzNYyutEHbHJsVBD88UEoQzikqok9YY9AxEXo3dLHl99b1zdDUE9iGiKvisDvL79F7j/f9YBN2w44prwPynkILEAhqlDtZJZnRa61ROuJDQ9KOpGUz0A6MV6g68Ff/q7/Ewi9ogxwtpCuQaOYz6X10Pdpkw8Iv8Vkhic6+74WSo42i7RupBtTwbxqqT8Gj90St6ZWiGtUE3zParLj8+EXyiyP01hg1qTBlJTFUwxWNQilpQIfYMjs94fDGAfuv7NN7AypA8pLHUFRok7CZJ69ycmulWgrgPDgvHpRRkWOKki699VP/9uz0g7c5tmkQ20RsBiYlrJbUD4WUV8uuw8e4Li/VYB5RUf6bohIyigfnAioJ+y14zfLOCa+8cI2bL9+k0DnT8YStnW3OzuYip3QNKvT4tqcsJpwuOs46Rw+89/1PszUS9NCsWdK5Fg10naeoxmyMSvaP7pDFwOn+Pq7tKDNLrhVZZpidnVAUlls3X+fateuU4xEbW5sc3jmhO1ti85ym6dnYmDDZngrWedHy6tf+gDu3X+KpH/teHvyOp1hgeObHPsqlh8b4DkZFTuM7TpYtrvcok1MUwqYrK4M2CkMihRatFO3ZGbH3NIs5u5tjHji/IeVhkQnhNSboEi4pdBaJrhX5q0ooH9cS1GJcYguN0kF2vUGHoNR9WnGMoI2RiCkf0TEMqTJyY2fayBHCeZnLD44J1wZSkPvCKo2OieQkTiuS1vHZMYJOK9XcKkRSzDQqKVQ0qCiZ8EZpclWQX91gYyvH6YSLiao2hK6FaMizmryUBz7Lxzgn91xwXpgNeYHrhS6c56XEVUfRg+hMsvx0ZmSMlxKlzeiXLZlKTLZr7MYIpWtMlstkQKfBQ1IStR2yCntp4AUNx3PaOwuO7jSUFog9BKlovOvIlCx+ySc6F5jNe7SWisooT5YrvLJgSxade8vH7+1p5CkZ/ayiflZADJmBQlQCORBVU7Ee/axKu1WGVxjOi5IpFu+DHZQiaUPfRawtmNRTxrWcfWezGYeHh9IssoretdRlibU5bduytbXBA5cu8MDeOT7+a7/O/GzGvdt35LwfWAuGtrd2kWiiHKvF726MYXNzSlnWhBBou6V0tFMges/W1g55XbF1YZfJ1iZHR0e4VigxsfE88+E/zrVXT3jwoUd55xNXmN1+lZc/+9t8/B/9Xf7Xv/E3OTc2jEeW3inmc88stJiNgvF4LIKjvhGwZV0SfI9VEH3LlQfOszkpqHJFkcnILqaAVlJdeR/JsoIsV3KTKZmNxyRBES7IfwnIA/3mHDWGzEAlNlrvHN45GcUKxHAd+yT0Yob5u6DPYhSBlRkAp6tegNESPiFg1KHEV+BTFMb84PyTKLA4NAFX4p37wRHlJOejH/uIfFCdYY28Z4oSPZ1l2cBgDOtNxebF/apyde/5wa+vldh2vR8+mx5Geh2+k8APbSJVVaCytD52pDQslNYMu71GpUCKPc53pM4x3z+jO23QAbSS0BOJbB+494h5R2mpuoKPRL/qMVj5+aPoek9ZvXVU9du208ObiCZDdK+UVwmbZ+vZr3OOrhMQhCZitVrfGEoZOdIpQ0Ighi5pfFSYfETTJ4zOKOqcalzivcRFVVWFHW4qkxUwfI7JZAREPvoD388nf/cT3LzxGue3znHl8mXqspBmYUrrRuBy0dI0QmoBcDGsu81N0/DoIw+SomNUFrSnc3zb8/1/4gfYurxHOanRKVJkOa99/WV+4e/9HXq14OkPfRfPfOx7efDBHQrd89ort3n2d77KyRtLds9NwFjOTgKh1dDD/GRBjMJwT1EJCSZG6rrG9R3jPEOnlo3aMioV1kTKMpeSOka6rmO2aCCKJVcci4qizIbfkbAcVkpGkNJ3dea11qKHr8murgaRSjZw4OTmlpHdgIcmrh9O78URlmJcN1WNzgBNcAMZaejYD2mXckRgyG3/V+6r+70eoScTPd/94e9ilRu/Nanx0Q2uPb2+D7uuG8xIA29eKby7nymgtR6mRvfP/bJ7D1FTA/pLJY82iXI0MAZ0JMVepMauv9/YXC1kBPAtfrGgOejxrSw0RVFQFNnQeLYUZUZmNUWRk5IspBi9zgBQ64BNee+m6d7y8Xt7HnqlcDHgOi8qq6QktFF+5iSV2Dm3LTdzPWalKFx1SQHatqdznq71zM56ZgvDvDN0bY4LOW0qKMd7fOf7PoTWmoODA1onrqssy9YiEmNzgkqUo5J3P/kudrY2+I1f+6ecHR2yM93hpRdfXHdqBR3ds7m9yfXXbrK1s03fe6zJh4gjWYgWC/HSG6NI3nF6dMSzn/oMX/7s53nt5k2m5zbZObeJ63tSjEzLmu95z1M89/u/z4tfeZZFUHzi459mPNrgP/mv/wt+/Cd/jr/0F36OO7NTdi5fIWpPypYc90tSUuTDnLlpukEe6+k7j+uX6L5Fd3Mq7dmsNZlCPOx5BSFSjafsn8xRKpFrze72jtgzlaT6hhCGgNB88M4LngmliMOCLXSeSHLDDjzsin3fE/uO4HoG6RwqCm+flDBKZtPee2lWRVHduQG5ZbUWff6bNPeS+KqGBXYwvSQGqeCKFwh9F/EhUGWGi0/sYjPh1u1tjynqQiytmR2srWb971h16OMgRmrbdsCN95L9buT7Ky3CrRXLQA0ZcloFiiLDlBlRK4g9sW9JroXBiaiVRQ4untT30LbM3zhk9kYHfc50OiUh1UdmNAqPVk44h1GqLj+kFGkSmbXYLBMICpq+92sty7e63qaEG9Da0rbtunkjApuAzixlWRIV+Bikw53GEg0UQCHoY2s1ISmUNgP8ULLSookEHC722GpCezRnNKolCCFGlDGE4InDjlOWJbm2tO2SW7de586d24xGY4osJ/lAt2woiowisxLAMRrx+uuvE1yg7z15ntN3gfEQylhV8sBsbm9jreXw5Ji6HnF8dMTG5ib33rjH3iMPYjSEPlAWI7qs4fD4BJYdv/PZX+fZr/we77xylS/+3j9jOpry1BNPc3Ci+Jk//xdxx8d0pyfMlqe8fuuAh86fp2lPmC8XzOdiqTWqxvtImeWMypJRYajzRGWle9w7j9WWclRz2nRUk03U2ZFEc7ctVT0CJaWzLJCCsl7tPN6/6Vg2VF25sUOuHeuufWbtuolHDFTjMX3fk4zCDA9UVhRrgIbw4uV7mULox9pKmkxAMg704EBTxkBSxJBIShJmVn9/pd4LQfQCWZkw1hM62BxXa4t263poHJPxlOQVqISHQZMwpNzmGdEHskziqcPgwVAqrKu+vu8hGYpMU2SGcRXJshwz2GTTwPAb7nypcpDAFh0j3axleW9ObBKhi+hCTE0kLyrVGNFauvPLpgNtOFs0+CCMR2UkcCMoTdd2sii9afrwrz17/7891X/IFZ1nsVigvilX3qJNJg/8kH5jBtVUPoAhV4EF1hqs1WQWitxis4AyLUr3WOvBOqYbFc38iL7tSClSDrlmW1tbVFWF1nadh+ZjYH9/n/F4zLiWDPjOd2RZxv7+vqTIZhnT8WQNW9CZHeStGu972nbJyckJRVXSuh6VSfrK1s7Oupwb1zXKOf7gi1+iqsfcePUm2+cfIKtHPPbEE5R2gjqJvOsd7+fe9SU3X7rBq19/nn/6i/+ET/7aL3Pj2td59itfpNyc8O4PfQepity+c5O6rplOp4zH03V5X+SWUampc0udZ2TW4lzA5AWojJgUXYh0w6gqs5p8YL8po1FvkjwrI7FeK+nr6liWGGK/u2YYacX1WHUVrmmGf/tyvpC5ehITTJGVAoQM98/iooxjiGxK+N7hXTf0Et4kyQ2yk6096In7338Y6ZpoCV6hbOLRdz7MpLJc2NuSaojhtIBMk1bnejVMCFZn9pX8OLLSHdyfLqy8+jbTlFUhFUa7gBTIrRrENAmV4nrysGIvKiLR97i2wZ22dKcdofN03tF70TDYLKPpWqqqknzCEEjKMpu3MPQSUvQCEJWfhmREetE2vNX1tqXWeu9pFw196wgurM/pLgYJciwLYhRrrR7Irj70BCKonphajPYo7TG2x9CRGY8lYFF0y448G9HNe4LzJCeGj8xYzk5O1+WcUfIjaBppgtV1Tdu2WCW/0GXXsljO1k27pmnIrchTfQicnp6uS8LpdMrRySFNs2A6nXL9xi22z+/x9Zdf4b0f+CAbO7sUVcXZwRGPP/5O7ty5x7Te5Lk/eJ7dh69SPniOH/1zP8PIjjhYtGAUVx68xNe++ipmus049bxx4zavv3HCa197id/9x7/C17/4nFQ9QbrMZ2cntG1L2zim0wlVGaly2BjVEoaZZfgQCDqSlOb2wRF3j0954NJFUnSMRxWaQBo65GizbtpZK16HEIYm0wCYcKEnK4u1kEcpM4hnZIFeJbYak+FdoO8deS5Juqv0WYy+L3M1oJLD90sIgrGOyQsvLYV1vlsKwzBvlYMQ07pXIc1ISGQQEz/5Mz9CCks2ppWMVo2U6BjNbDFfL8orGEiW3f9cyhpcFC2JjAsF5tk1LYvFfGjiKrSJWBOIqeP07JCumeGbM4GDIAvGqo8QYyT4jtQ0zA+XzPbFpYg1uCDu09XPcbZY0nee4BXeweHxEhckEWo8rkUQhUiW1xJo53mr621T5AUX8H3AO0f0jpTExJFr4aIHHbFWD7uRCFEUQZpCkbVAR0pHUSYpL46lEALTjT10AdvjGk3k3M4Wi8UCF+S80zlHPR7TdWKg2NnYYGNUY4Y5cdCRtnd0fU9QmunWJllRsmwbfPQEpTmeLSjHY9q2FVNEWRO9fJa9i1fY3z/kfe97H5cv7NGbwKWHLtPPjrhz/VWO7h5Tb29zPD/i7o3rzE5mKDTj3SmLruXw7nWS9ezfOqUvDNCyPG3p50t0aJkvTtmY1LgucvfujNnZkkU3xxY5bd9Q0LNVFYzzglFlUUhIRtsHstyQqUjfNpw0huAsWRYos5wyy4EoM2SrMLlZe8a9UuhMCLErTpyyRkIgMPRKqLwqSoyIDq2Qbrh/9s6sQZGI0QEScW21oJ7uj2Kha3pU0kM0s1vbiVNSaz8/0ZGCW+/IPgkyzFoLNpOxYcog5Dz0rvNYM2M5X+CiBVMMkWoWawqUqXApoTOLMhkuJJTJUBgMhmI4twt9OdHHgDKyEJaFJcWeTCk2JxN84+jvnREPzojLU1TXQujxyaGHBB6lotzLbY87W6CdwnuLjoocT4iKpouoLEfZJEgyZbl3OCcEaXTaPCdai84l3bltW9rOSfDpqrL4FtfbVt4D+M6Limk1jhvGQdoaRqOavJA8MYmrHgQh66NANnSQNc6JAaYf3msl7XRuzvbWlL5bCOfdaEJKaGslfGFo0FVVxRNPPMZyKRz1tm1Ztj11WbEckNPLRcPx4RHT8WS9CgM8/PDDcgNqmSNX9Zh8XJPnOXluef2113j00Uf5wuefZXfvItnlh3nH934f2fYGy+jY2tsiTxnP/s6zfPlTz3G63/K9H/tRoKTIp+Q7e6hoKa0FlZES6BjxLtA2Dh9kfNN5KafPTmXXmowrfLtABc+0rga+nGgY+l7871mWMV/EYeTZY1LE4AhpZUTJ3rR73x+bhd7RLRtpvPWO5N269BapbFjbZ1H3zVE+iXoyRump6MQa8umcW//d0Ie10Ml7T3AeozSu7dbuOmPMAKZ4EysQ1np/73uiivgYiEmzfX7Ko088KOX2oCiMPhL7tC7ZC1usO/UAVV2AipJ+PHx+0ENclUHZbC3PXWUquhiwOuPk7gn3Xr3N2e1TZneOWZycDZ9TaE8pdMReZLuplyql771k17eisutaRwyJrMhBGVwfSUny7LUWN6pSai1065qWopAsxjeLgP7V623q3kvvsvMOSRW2kutt7FAW3qePrJpHVotMVyuLGuCK1ki+XJZl0lgyOQYZ9wXfk2nFrTuvUeYZW1tbpCTNN5npyvnv4Ycf4pFHHuZzX3iWk5MzlssGrS3jqqbKxV7bzIVIo1RaE1JzK8GWdV2jrWU0nXB4dMTWuV0eeuwqX3/+qxgURweHVBsTcuD//qVf4JHHL/LQoxd58sn3cLp/yOJU4pcqk3F6tKDMt3jsuz7A9sOPs/PI43zvj38M1ydsULQ+MG87JqMJzbwBZVj2UlorDEVWCNpr0GtPJzVaBaxCgJh2ZR2V0nuxWHA4c0w2aqbjgkIp8vyb2fH3z9pxrRnXSg0deJn1Z1ajonwfiOvmXUgycgspDqVqWvdqVEyEYcxnpIeG73q869af8ZtIOYNTj+AHjsD98nWN5FoRdZG5/6phhzJEA9//Jz6Mip3sul3L6fGcs5MF7XyBWy7X2v6U0hAq4sQYk2cDCy8NGhCFzVazfE2Z5RRFQVUVktKjJYpqcW/J8bVjjt84o5077PDAKx0heUzo8QtPaHq8c2gtNOJ527NYynEWlUgxo1l6mi6wbKWxbDKNzTNQBh8VIYC2GT4FAkmOLm9xvS3d+4Scbfq+5+TklI1Lm7g+0bmOXBlBX1lLDD3RK6JnPcONMUrBNQQ5rM6VIYJRBqMVTWjol0vM2THjac25nW2qMmd7e5v94xkhRQmsjIHrr70qPySjiSmRZSVhIMOezU544PJFFm1D6Nzalx6iZ3ta03QZN27c4MKFCxwfn5LVJTY35FrTHR/R6xw9qmmj5+LeBTamE37pf/ifsXVOXW3xxFPv5vH3PM0nXv4qR/M7ZF3BZz71CZ6O7+NDP/gM7/3B9/I3/7O/yt65CZkLzFxP41p2dx/ANUscEqPdtY627dDao1NE4dkaZeBnbE0LFIHcGsGMmfs0okUPx/OOd71ri9jN2b2wB9FRjUb0nsE2e79L7b2nrku8MXROIpsgilNMSbRSRA2vSwc5aemyK2WIw2ISgiORpJQ3ApkQzp5UaMkklA/o0pKGaoCUJAyy74VNPyzaSt+3uErXXq0XKgYTFkZjc8MHf+i7+eI/+EVicMwOWub7LclpQmzJ85Kzkxk2NzLRKQshLw+Vg84sWg9qPDS+7ynLjN43FHlOrSH4niIHpQ2xj5hUcPpGR74Z2Lx8AWtqVG5IqYXkcIsGf9TSnjmCl/dOJiNmlvnxGUVpyGxO12vOlh6PImiDKSxlXeCco+kTTR9wXhbbQKAajdcL4be63p6RXbqPVJpOp6L6ck506YOV1mSa6XQMfYfmvndelGHCGzcDkdX3wjGTUJAAKpBniuXxKafzOYnA9evXsTZ7U/mnUEn6Bnmes1i2GGUYjUaczRZsbk05PTnk5PQMD6jcsLG7RTNfcHxySp3nYDSuTyzmS7pOxkw725t86fOfY3O8wdmiY3f3HOfPn6d+X87nPvc5zu1dROeKg4MDPvup36VlQVFOKbIRm9OKi7tTnv/U58lzj1cd5qwlNzlVXrB/eIaxGh9a4eE3S8qyxnU9xWCl1ElTKIVOnioTxJLsyLJz5YXANFrnuX73hKIwZDqyPRqJhTNlg9BGE+N9s4v3wjNs2xajNXlZCs0mODKbSembgN7T+8G5hrCji6Jci3JUpgk+oI0hpogGVLZKpBHhjzJiSokektFkKILrMbqUpl3wJGVRZoB3DL9Ta0VYI13thLYKjRlm7ol8WlHsbPL6zdfp3Yj92wdk2QOcnp3INMdaiqpAeU3XeLLKgNGMRiPaZYfJMlyQcJQ8z/F9R5YZFIHMGjKV0DqQfEQPKUDWWkyRk41qgtVYLUci5XvcWcviaEkzD/igafrEInjm/f/b3pnEWHZe9/33DXd+Q70autjdpDhoIEValCzJlizLjmzZchwgMhIkdgBnAJzsjGyyiQMnywBZBNkE8MJAEHhhBHAWSaDYsawEmixPomaJIik2ySbZc3UNb7jTN2Xx3feaUpqyqcDdTajOquqS9e7p++43nfMfOtKsIM3iRLBctTSdQ2jFdGtMMSoJAnrjqFuPVAlBGMqiQiYRLBQGsY/bxd0p5A1EBRmgXiwRPqCVYDquKIqCvCox3tBbg0w0aq3EgogOKkOs2UrxjB8pihFaCrlWmFWDkLHKXBQFaRpReZGiOMhIWc9yWSNl3E6uViukCBwd3WQ8TEjWhUHjXaETSd+1GGNYLBYDJTSgJWRJwuJkTr1sSKsRViraztG3jmRSMd6dUEw0ZQKmb9kaT7jy4ouMswTwWAT758+xN9vhG3/xRarWU2YlMkR99MlkwrgsODo6oneWoqho64a27XDWkKWK2VbBbFqQSEeVx21+kWYRCjuQaYwPLNvAqwcNeRbIhaNMJEK4SGMd2lXALQno7znXR+AzEXO/gZqG2MLSsYW5vtY2KxAeJRlw/bcgrutt/KZWI9ho4+FjkbarGxj68wEXuRuujxXqEDbv1Hed7VERcSkEUupoE60VO29/G1cuz3np4lW61tHWPYvDhuVRx/yopl623Lh8g/nNOSc3l9QnDdcv3aCZt5jW0DU9+EgNTtOUPM8py5wklxSTAo+j6WvqrqZ3PTJTFNtTZJWjsmgQIl2U/3bLjnZu8U7RGlg1lus358zrDqnibjNIwaptWNU1Wsc2qpSSujEYGyhHVXTyHWoO66Ou+z5yuHetZYf1mK6nqWtSvfYEC4hEoFPFdDYZUGYNXWeGYovHDGdygsS7QZts0AMLIuL3vejRMiCdIMkqjDHs7+9vuNPgqaqKrq1p6h4pEtI0J8sKxlXB2f1d+q4meE/b9mQypUwzDq5eY2tUMS3LzRby6OiIUVmSak2RJzz97W8y2tmhH+X83N/5JR5/7/u4ePEiqsr4+C//Mr0oODpY8tM/9VFMa9gi5/pzryI7S1bkFGfvI/VLnnzrI3zh05+hkgFXRQ33emURIa4gViQ4K9FeoIWmyFOE79gapcwmBTujiv2dGaMyDnQfwlCg7FiuVjz97Eu8fGS4/9wOs0Jzdmc6bJkjwjBN083ZXuu1amsk6ri2j+1PIUnQSCcindlC19Qkwwos8dH1Vku6pkb4EFGI1mzotP2A61/r8Vtro4vNgHBbI92Ci6q58YW23wUCEsM7ZYPfFFXN0Otff09aaDyK3ccf5+DAkiVbCKE4vHaD0AtObtacHMxZHCw5ujHn5uVDrl28yqsXLnFw6SaXLlzm6sUb3Lh0xPXLRyyOauYnDV3raLqekCt8ptFlibUK62JNISklO2f3yKoi4h5si2g73PGS45cPWBy3HM5rbhyuOJx3zOseL3Q839uexbKm7y3T2RbjrTHjyYi+M3inCCJu8R2OYpQP/gIK40ClxesNv7tlVS3wEtrekCqNCh7nO7RIEC6AAgZzRYSiH3w//ECSCEMhLkkVpncIGchQeCewKKR3KKHpfcHOzoznL7wUCSldg8ST6iTioINCJvHldn2HyjLK0YgbBwc4H9V5mq7DBRiNt/DGMT8+QeqEVDnMypBlOYuBetvVDUWasTWbceXKZf7w0if46M99jHbVkfqCZ595no//k1/mj//Hp3jqS19ib+cMvZQ8eP4sk62Mnb2S+tVn+c6FZ7j48vPgPElVsVwsMV1PmiR0povioM7iHAStwTnyPCeXGmlbygwmZRmr8VajMonxCQwS2q8eWL51pUHolP1Jxc7Io0Q/iGnECnpwDikV7aomz3PMQJbxMp6l+y6iGUUAY6KmIH0swHrCgMOPKjRd20VFYRPdcG3wGyy+kDq2wqKGDgyS1ML56OU29MVNa1CFRNoIzGJA7ymlcD6uXjJEFWRvAloFApIwuPUmA7ItyzK8TEhwlJVC6ozEiOj7J3O8k/igWNV9FM00DTp1qCRluZrTOcN4uk133JBXErYnVDmIPKB1YL445szDO4TeYuuWUAVEAchAogTOtPiupj2oaW4ajo8Mi3nguBGc1D2jcTQTcQTqJlC3hmJUUExykiyhG+i+ffAUOqXr+vi5zlGNK+Z1jZIJ3fdh2d2dQt6wdVMDt9x7jxZ6A4BJ05RyVFBVFXJR4wfjAYEaWipE8EWI286Aw4eATBKc8cgkxQd46dXLbP3IA1Hfbs3s8o40rTg8PCQrop1TCAEtBbt7O9R17OULIUjSfIP2auqacshNyp6qqvAeDg+P2N7epum6KJ7hPdevXcK0FkHK8898m9nuHs0wcA+OjvjRv/Fh6sNDqqrivrOWvinhAAAebElEQVTnuX9nwtVjzVf//PMslg15XlIvT8i15uy5fezNI5yLUN+6rgka6lUUF8myAuE9ru8gCcyqCdrVZKki0WCdwfUCkSiEDNRLxde+/Qorm/DwfVMmmWIySlEqgl4QYhArja/GmqfwWhZckiRxGy4EQktUsPRtPN+uEWzr1qDUCrWG6K5BNCGgpERqTWAgrQSH8AKiz0RcrY1BpWBtQCqFCOCcQUqB8ALvHMHajd02MLT91PB+KKwPAystgAhorVCZYtUs0VVKkufkuYLOYz1U2Yi6WeKQHC9X0aYKRXtyEll9QrJYeoRt2N6pOLhxwiMP7pP0K4pKMNqryHYyRCs56ZdszfZJ8tiJwgd839AvFywP5xwfBY5OLDfnPSd1oLOWpBOkWnBctwiV44OgKFJGoxFCS5ZNg+0sMs1oupa+ja3XJI/bein0oFtwjxXytBLct1VhRUC42DO13lPoHNvXKCUoRhVpntAuHWmRR8eQQbHGEwUgjXMMXROEVmDdQNjRNN5x9XhO4nrqZcN8ZWnbntFoHCcaou9a10RyzN7ePocnx1hrox1UvaJtmijrnKbct3eG+fERR4cnCJXgTNRv39raoum6oc8cmE6nhLoG7Ui05vnnvkX2yogPlCVJlTKbTXjh6Zf42b//cV7+5jeZ6pRnX32Bg5df4r0/9tN857nnuXTxZXKdUhQ5V69eHVRsJfNlPfDSNUkSdz1SBKQIZNIzyRNSPNvTEYUSBGNAgUeRuY7eKT71tVe41sBsmvHwmZxx7kkFqOARcsABSBDyliX4LUrzMNikYN0FXhOXgosIR6lVNKYUYnNEcNxi6YUQWZTrHnyaZwNFWm1IPMINjm5egIrecWo47xtjI+fCB4RIkCEKewoNzsmBwRaQQUUAzNCvdh6UFHhp+PGf+SBf+/wX4+5oVELfMyknkbFmerJUIQer57o1zOc1IGn7QBeixoPWiquHN8iyjBtXVrzvyS3e/Y63s/fOGS4c4w4M5Sohn4xRmcCJjuAloVliDuccXVnx4kXLwUpx87DH+sD2bESaJnRWYIIGZ5jtzpCZimPF+6FFZxG9x+NJs4IkVbdarDi6rtto/t8u7sqZPtWKnWnG7rSKYJA+epURQnT6HFdILcjKgiSLSjrG3JLHem28VqE0BIeSkCQZ80XD3t4ZdnZ2EINXWVGUGGOYz+fx75Rke3uGEHD16mX6vkVpTV1H+aSmacgSTaI0y+WSum2ii45zGOPIipydvb1NP3mxWLBYLNjdmeG6hjxTjIsUESzf/MZX6OYrji8d8vj738e3LzzP/mOP8eVvP492KU++/4OoLKW3BmtNrAoLWK4a7CBXFfHgntZYQojyVDJ4Emk5f982VSooU0mVRa+5RGkS9MAzKHnu1TlXekhGmvu3E/bHmq1CkA6OsC541FCwiz31fkNVXce6Vba+plRkqK0dWvzAn19/L8459DCBrOGzDHwLBt6D6fvoI++i9Na6Lx/P8gA+1nsC0dXWWYKLxzpnoyS39w7hX4vh9xtjlKirJ4e+feCdP/YEQQHE3V+SR65/mmuqcU6ep7jgohVYmZNXJVlZRHZciCjReeM4XDlOVrCYW+5/8Az7D+4gM4dWgDV0XUc2ioVNLQPCN4RlT31oObluuXbUc+O4RWYj8rIcFKHjwrZqOnSWYr2jGo/iOzwwS52PhfC+NxGBGkQUEvV+w434foP+rq3025OCzoEIjrZZMWMWv1ip8abDekM+LqgPBMbZzdYyFSlra2Q54OYjDjtq3ntrqOuWo8MlUha4Nm6DT+ZLLJKsyDdHiHPnztGvGi5fvkwQHqETimKwIxISa1ys+mtN3bUYHxinOaNRRtPUrE5qrly5Qmd6kIKyqFitVhwdCLa3t3nkkYd5/oUXEa3l4OpVvtF3PKE9xgnOPPIWjldz7nv4LGdmuzz1hU/z4Y9+gHc9+TiLgxskqWKxWhKEpBtkjZ2PKq1t00SBUNMTnGM2zsE0bI1yRlkk2Gi9FhLN8H3PS9cbvvrKCmMDD8xS3np+i71phgoWQmQ9rqmyG5slISEwyCnHZ+2c2biyrMVP0jzHDav8un32Wq765jinBWIYaN6JaHIyQFv7rkPnWWw3IYYajkfBLaFN2+OIfWofIqIv4m9ElNoOYVPUk4P4RfD9cFTROOdBesb7Y1SpCcYTZNTvy/McoeI2UqFJCJAEpIVKCqwLNH2AOhpq5uUE10mWdUfuBKMtTTIyqEIResX16yfx35t5ICCDBdMxP7a88MwJX/nKZU76jNo6CgVVrpEKOtPSmUBW5Og8oRyXCKmp6wXH8yXBBvI06jesvyOdpCRZThA9Iaw2nZDXi7sGw1UakkJRjka4gVDjh02j9Q6VaspR9LHL8yy24wZutXPu1pe80c2TSBmBIjrPQUUJ5cXJCdV4hPFRKbTveyajMaNRycHBAcfzo0G0I/bCT05OECJaOnWD6IEaxAp0klCOxhvBCJlopFZDRwDyPGdcjjg+njOdzrh48SKJisIUZZHRrRpeffYFmsMD7MmCd7z1Uc6/9e0c3Dzhobc/hnWGPNdoAW0TZ/W1U+1oNCJNU7qu29hypUnUvJtNSpTrSbAkWkQU3iBh1eM5WPR8+msXuLo0PDgZ8bbdCWemBYUmns2joPXGFWW9Qm7kna2NhBK5FhFRmwEfVxeHcQ6pI4tRJnqjtfddXPgB4hrtqOK5PspBDao0Aw9fDWy5tRquGEg1tje3FHMRQ5X/NQy2IQJyo+MnwiA86QNiWPHTrYL7Hz5P20a5c6GGgqDzWG8JwpPkmhBiNyhJIv89yzXVKGW2VZFIR6LFxgdAhjVv3mIaA0pSbo1RwkZxy7rDHPZc+MYBzzx9yJUDy6I1FFVOWaVURcpytaLuowHmdFqws7MDQnF4eEhnYjvVC0FvHL2N95CJppiMkFrR9fY1Rbx7DJGHFOhxSZGPSaoKkgyvNa3xJEnUH0vzjGpcRm6wVvTOfNcgByI01wv8sLVHWkgCrfAcLI7JigfouhUuhIGjb3HGsDTRpCF2faN3mrWOotCUmSTNcqyNxg0nJyesFnOE0oyGOsTRyQld37I1m3Hj8BCFoMwLRIiS1ElR8uIrr3B+f58sy1isGna3tiMi8OAKF5/6Mof9CeYnb3Cw6tjdnpHqgj/85B/glh3baYVxLY3tycoS2/V0pscFT13XjEcl4yyhVJ7d6ZRMOrbKnJ2tglxDWRZ0pgWheeaFG/zh12/Q+Yz7dwo+/PiE+7YSRnl8QUJw+KBQKk6sru+QKm5hkySLVlMM2/Lg0ErgbU+E1cQinHEWZNw+x12Y2BTu8B7jffSoVwnehVsSVMYi9VCk0TIWZK3AEiGlCBEVlZyjWfaIRJMhcNahE43telQqcMGgQoLUUaxTJQEpU8IgZEkIBCew1kVJsMLxoZ/5KX73qd+h73sSlWAs6CRFhOHIYaOAhXOeKlcIJ8jyHHFco0MglwrhDVIn7KSKxbUl5uQMshCoKuX8Ox/C+IAyltXN6zQ3W175xk0+9YnvcHAs6KgIIlLD81QNasuKUTYmK3PGVXQj6rpoDNN0JqIe47cBMEB/CwKSVdcTlKYzdoBLp68//P4ahvRfHoNqqCwkRZWT6oRUR16yJ4AVEBRCRy13ISR+qO4rmRA90qLfuhdROdcT7a+Ey9EBlnNLPqroe4+xAWM9QkicEKRVAVINle+4EknAmHg+HJYTlI6iiyrJSbKUru/pm55V3eOVYjqdIr0lURqpMpZ1i9Qp73z0MWSiOVk17O7fj7We68eHJHnGdLLHzeWSB97+TtJqwuVvP8dYBR5821vYKkdUZc6iXdI6Q1GVJALwgc6BQ7C1vRO51aZDS0+WS4TwzCY5wrRkBJwxrIziyy/c5H8/fcK4KHn3+QnvOVeyW2nyNenGmMgftwYVLKZboXTUv0uUQ2I3KrFriWjrHS4MWviJQokIklIiMuA8EgYtwSTLsYOirlQZPgh8iBpyPvSxYOgj99v7QUXJ2EhK8dGbXtmA8vEZaAShc9B7fGPRnoFJx606g4+CFc60A1hLR+w9jugFJgi9Z/zgNtOzE5aLjuXK0tkaZ7sN2EunUTuvGFd4KUjKHBFiu3dvb4fpJGdvkvLwmZL9nZLeCHyQeDRhtAvjCZmStFcOWDy75NLXV3zrq0ccNwWdj0SZUREtHCUy9vpF7JaMRiNUUdL4jlXXMl/1CJmhdBTntN6QjQpUlpLmcXJwvcGZDhEipbhe3mNneikiLdBpgTEO39vIlFOOPjjwAwDFuw3m27M2NHSofBB3WLeNhEBKgV8bIOAZjydxRbEe490wk7JxxI1Is6hFVpZltLIaOPGLekXXdaQhqq+cPX+OLNEcNUvSJAelKcsierbPZly/dpPJJMNaz2xni9rUPPrI23j55Vd5/sUXmO3vUeQVl69c4fzZBzhZrXjogYc488D9PMUX+D+///uUe1s8+tBb+ePPf5ZMSZIkCnVmSfSZ682KzjhCkpMUOVoJdscVpTfMRhmJCOhMMXeBxbHnD/7sGWS2hdaSx96yy0P3jRgpi4bosCpzXIgKOtabjc6e97ecaUKIE+Uagx9NGWJ53w/ouNdu4YWK4iJuGLhm0BnIinz4+6gPH0I854YIvBjw9Dqew62NGvoh4IxFZynO3yI6GWNAe6RTg7aiQAY1mF3EfRvOo4ZWoxAR1htZhoMGIwqZS/YfOkv79Uub9lZvTAQBeo/WkYHZti1pmtGZPtp8KY01jiQRjPIJCk+hQGU5NsAoyfAKRB9o5w1XXpxz9WLDixePuX5gMSZOKmWRUpYCjaBpGoyz7JzZJc0yVCLxEiQ6igsgaZserQRKCcZVRVrksa5D9JBwzg02ZQoXDMbeY3x6hIg+5mgOD27StwbTdhFpt/bV9iH21It8INd0m8ox8F3ign442q0dbaWUVJOSFy++jHOBo+M5xkWX2/UkslZoXaPO4ud4Dk+Ouf/++ymKIlbvs4zD42NSrVl2DXt7ezjvEVbSOM/svrPsnz3H6njObHub5196ETQ898y36VaG4/lN3vOhD3Dt6qtoVfDMd55jMpnwlT/9c1Yncz78Cx9lb2cXcbjihRdeZLa1i3WCpjObM3ysiEvKNCfxhtTVPLBbMSlBJwFRjPjsMwd8+iXB737hMp/4swuc2dnm3Q9N+JvvuY93nkvYyS2zsSLP1EatBiXpg4ukGCnobewKWB+iW0wIFGUW0XODcsz6GW9Ciohx1/GFRAryskAoiRqOaevioLeRgqqEJEvSjSZdqnTkTPh4zl9DeCEy7/CCYKNohk6igpIjqsYEF00mxFATINzSzls3HWI9QQAaQlz5hYInPvgeXNfiOoMLkk5IjI2Ivq7vSfNs886laVxVtdYILdnZnjIZ52xNShIt0EFCL/F9QC5q3LUFl751wJ985oAvf2POlQPBsg4kSWB7q2AySUjTBO8iRXZ3f4/pzpjJ9oi8zFg1HTcP55wcL2nrDgG0bY3SgiRPycuSJEsx1iJlHA9pmrJcLrl5M5qovl7clZXeWceN60eIVKOqCm88bduRlJqkzPGDfNNoOuFEXWaQQ8R2PYIS3Nq4csBbD1JKYXBAAahGBdY2LFcti8UiaplZR5alCMAIw3K5xJh+0+PM85zOGpwPLJerDe58/QKuVxvnHHleYn1UjTn/wAOcHBxHXrg1aCl49PEf5elnnuPMzn189Ut/QjXeJckVaZ0gleLBtz7C9SvXeNePv4cLX5lxeP0G88tz3vXE43z15g3yJKW3ccu6t3eGa9dvkgZLlkmqPOFoseR4KWg7R/3cMa3pybKOSZXw6LlznC0gx1HlkKWSNNWUWYa1PS4EEimxeLIkicAnIwkyApy0iLJaQga6Lm4TjenQeboZ8M45VBpxdNY5ZAIuhNhm6od+vY0TRQTtCIzxSCXRWg0EGR0nUBHdXqy1mw7AGjosh4r8usq//h5MsCiR4o1Fq2SYACRaShAOZwxiQFuKYSfgAIXEOIP3lt2H9rG2IxUFdWNQRRY7AUKSldHwNK/WrMsk7oiEZ7Y9RTuDFhFNarE0JysW1+YEHVDCceW5q3zri5dozQiVClJhIChGeR7ddbzH9EOBUwjyokBnGqEEXniapqFve/K0wKYBYzrSTJOmCVmRDxJmEbtAzwCRzlgulyAEWZG97vi7O4PeR4liU3dMqgm2j4ILURgjoqeCiPLXRVXil4sI0NAi/uPDGlcsbw18D1IkEaShFONxxdHxSwSfULcNVTWhbpeRF090WhmXI/LhTOR9wAXI8iinpNKEMotSRE54Tk6OmU6nXLt2jb63jMdjENEGWVnL4fUbtJ3DHDkuPPMCT77vA+wujrl29QrjPOGXfuVX+b3f/S8oKzk8OeZtTzxB3a548cJLvPVHnuDg8lWuv3JM20fpYqkStBLoLGGxOGFSDKuIlNw4XJDmGcYGrHXcNxuzN95hWihyadmqBNMiI9eKaS5JipRA3OmoNEMGsMQXzhgTpaGkHFSHAtH2i2higR/gq4OnoFZYO9g19560SHBDb16IoU0mBb2zaCnxzsdVHCK/3kPfuw3ZJoQQRVISvZGe9ibSYdM0QwhJGDzrY+Evbt/TVON9QCZqsOOS8b3xDimi6k9w8VioZPxcOUwuQioSHTBFoA8G6hYKjZIdQWmkA2fjIPI+ToxtbxBKkucpiQqDtzxgHEWR0S965tcWrOoly0XDxWcPWRzn3Fwcx8JaEBSpAtegh52u8YG8KtGpQmdq0OILHN484vDwGIIiBMNyWVMUCUmSsLO3i05TVJbghja2DR7rPPViGQt44paN9+3i7vjTO4ez4DrHcr6MRJo2qqfEdpglBIdOFdV4hE4TlIpaZ4mMffS1UOKGV71mUw2Akqoq6Lro3OpFZCfdMl+MIg3Hx8dA3P5Np9PBe90TROSoa63j2X5oyW1vzajrmiKLSLkqLxFCcXB0iMxzrly7gSBF64ximvH8C89y8/AGk3yHz33mk7zv/T/K3pld2nqFyhS2N7x64UV6H3jsySc5f/48h4eHlFWFI2xamcZ0NF1N6z2L1jEaTaik4sFJznvv3+bRM5KHZ4odbdgf5WzlklEhyXIIMpJcujb29L2PNQ4homCjlGxEKaztNwaYSq6BNn6wuY4DHqKYxtrGOoqUpqRpfsunfmC4uQEaG+myRCSeAJXojQnE+ji2sbJyJtKkvd/41/tgN73nKLRxC8SjJBHIQ5SfWhtO+kGxVwQfDTkHearAcJwh4g/yvUns0QtFohKyPI99/YE9iJJxAkvjsUKqQJpIqjIj04FEQ6LB9ZYbrxxx9Ts3efXCEW2d0LuU6Va58RyYVhmJVuR5RhCDe5COACCdpqR5SWcCTdMRBm7CatVsWKJbs9kg9dbjAug0RQ6S7s452raPRVcXNqSn28VdMrsQXLtxk753NMsG0/ZYE2drqQVJlg5aZbH94wV0xt0S0lij8CJI+zXb7vUWULJYzknTnFXTs72zA1Iw2Zpu+v3z+ZxyNAIiemmytTX8N83BwQH7Z+/bFKLaxQqdZ0xHY65fv44IgbptKfKcP/n8HzPbO8M73v0jWO85OVmgsgntScPf+tjPkydjvvadZylExvHRVXbv30N4x5e++BQqwLndM3zzS1/H9oaHH34L1nUs6liYKaqKtukRXpBawblRyf2V5sGJ5NH7ch47V3B26nlkf8r+WPPwmQnntzK2Sk2SQpoLnOzw9KSJBO8Gb3ONCA7hLNgoGAqQqIjPL/KUQPQXDF4gSNBpjhCDio23UcN98LOzfYgOTDYgLBtvAqXUIHgZ23cyidxy5C1l2/VZVKVxxyWH/rsYevF+cLQNPsKeE5UigoxSa9bSti3GdpiuJTi7YekZY/DDYPfeDrr4FrBRSj1EuO67PvR+jo+P6VqDqXvatgMRLdJjQoIk00gtKYqU2WxKUSSI0BF8R6bidt5pTd8K2iOJqeM7m1eS/WnFmdmY3ekErRR5VbFoGkSSkpQZxShjPKto+45XL13n6pUb9K1lZ2tGWZbkRUGSJEynU/Iio6oqtmbbpFmEiq9WK1Z1y3JR0zY9pnXY3mDuNVsrISUuwMmqxfWCvu6RWHTimG1VbE1LZtsjqjNjZA69DGiVxXOij5jjNRUz3UhsCZSOZ8ubK8ln/+JZDhuLSBRexGpxvZoDcWWaVGM0gkTFbeLhjcMoqzWasDhe8ba3P4zrLNJrmtpRe0Fbd2gVP88Num4jXbI6mZOUY8qtMdVIc3J4iMFSVWOeeMfDKOW4fv2AIsl59NGHWdFjT05wTeTll7nmxRcu8Z1nnmfVdOyMJmRIFkfHTPKcNHi2RzmZWbGdB2ZpYK9MmFWas3sjJolnWklUYvHBoFREPYoAiUzQKhJQksF8I7IQI6DJ4pBaUBQF3jqyoWugkFjXoVVAydgKwxqC7QagS7RYksRBFXCoYSBb47/71VKaIKKMmQwarRLQOla8CfTWk0gxwFCjPfPaBsuFuNUXRMae8x3CD5ZYDhKphonCDUAfO1T1iZOWHcw3ht2C9YN0tJQ4L3nosQfpvcP1a2urW63hgIyS7CFKc+sElLB4U5MRKKVEBU+RZ6RCDZBgQ64TKhUYKUsZOqaZYpRrci1wnUF4hbOBshphhGC+6jg6nNOvouFp3/fMF0s6YxEyFv6yXJLkCi89q76N3RXr6FcNtu3o6g7nYNm3OBFwItxu6AF3adB75yITCGiaDm88WkhmsylVGbHPo1HJ/vk9ylGBSm7ZXIm4vA8DeR1rJFls9V28eANUhVQpi/mKtq7pu4Z2VaOkpKnbjZeaSvSmUKeloO3qQUxjwWg8pulj7/bhd7yNqqoGLf5oyLGzu4sOgmef/hZ5nvPAQw9SjaLK6tHJMePRFC1hf2+XgxuHCB/46lef4mO/+DGuvPwqzzz9NBcuXOCJJ57AOc/h4THnzp0fACM6KtMKz7jKCFjGVcrObMRsq2JWFZSpJNdROETrwctNDhh6RKTSDm3NNaJu4xv/Gu12F8TG1mldae9tBHkgQgTw2FvtubVU2Zoeq4TcSImvpbW01t9VBF3DqNffI8TajlBy4w+//n+ibv4ta/L132+YYyIeMdYgH2Ao5A6rcwhRdHMQrVx/zvrvnTHUbYvWKdu7M3SRbbbITdPceteEwAyuPfF+8TiZpxl+4IKsrbpkgFGRR/spqUh1QlmkTAZMvXNmk2uep2ztbKNTjcoylssVUggW8zl9329EQbe2t0mShGJUkBUpSaZRaSwuN00z0JoNpuvp2nZDeOoGGbnXC/H9KHh/XSGEWADP3vEb/+CxCxzc7ST+ivFmyhXeXPm+mXIFeDCEsPe9F++WrdWzIYT336V7v+EQQjz1Zsn3zZQrvLnyfTPl+v3iruren8ZpnMadj9NBfxqn8UMWd2vQ//Zduu8PGm+mfN9MucKbK983U66vG3elkHcap3Eady9Ot/encUdCCLEthPh5IcTu3c7lhz3u+KAXQvwnIcSfCiH+9Z2+918WQoh9IcTnh58TIcQnhBBfEEL82utdu0t5ToUQ/0sI8UdCiP8mhEhv91zvlWcthJgB/xP4ceDTQoi9eznfIZd9IcRXXi+veynXNxp3dNALIf4uoEIIPwE8IoR4+528//eL4cX8HaAaLv1z4EshhJ8E/p4QYvw61+5G/CrwH0IIHwOuAv+A73mu99izfhL4FyGEfwt8EvjZezxfgH8PFLfL6x7M9Q3FnV7pPwL83vDzHwEfvsP3/37hgF8B5sPvH+FWrp8D3v861+54hBB+K4TwqeHXPeAf8v8+14/c5tpdiRDCZ0MIfyaE+Gniav8Lt8ntI7e5dldCCPGzwIo4oX6EezjXHyTu9KCvgEvDz4fA/h2+/+tGCGEeQjh5zaXb5XpP5S+E+AlgBrzCvZ+rIE6qR0SRt3syXyFECvwb4DeGS/f8e/BG404P+iWwJsOP7sL930jcLtd7Jn8hxDbwH4Ffe5287plcAUKMXwe+DnyIezff3wB+K4RwPPx+zz/bNxp3OtkvcWsr9G7gpTt8/zcSt8v1nsh/WI3+K/CvQggXXyeveyJXACHEvxRC/OPh1y3g33Hv5vtzwK8LIT4DvAf429y7uf5Acaex9/8d+LwQ4hzwi8AH7/D930j8DvAHQoifAh4H/py4pfvea3cj/inwXuA3hRC/Cfxn4B99z3MN3DvP+reB3xNC/DPgm8T34HP3Yr4hhJ9e/zwM/I/fJq97ItcfNO44OGeokv888LkQwtU7evM3GMOX+mHgk+vz/u2u3Qtxu+d6Lz/rN1O+b6Zc/ypxisg7jdP4IYs3VQHiNE7jNP7/43TQn8Zp/JDF6aA/jdP4IYvTQX8ap/FDFqeD/jRO44csTgf9aZzGD1n8Xxy1gDKGYSvpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = plt.imread(\"images/lena.bmp\")\n",
    "plt.imshow(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
